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Article

A BLIND ASSESSMENT METHOD OF IMAGE COMPRESSION QUALITY BASED ON IMAGE VARIANCE

The assessment of image compression result can not only evaluate the quality of image compression results and to a certain extent, can also find the advantages and drawbacks of various compression methods. At the same time, it can provide a reference for the compressed image restoration. Firstly, the classification and shortages of image quality assessment methods are presented. Then, several objective assessment methods usually used for image compression quality are introduced and the recent

Qun Zhou, Xiongwei Liu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2131–2148

Article

Research on the Key Technology of Survey Measurement Image Based on UAV

With the development of computer technology, especially the emergence of high resolution image sensor, aerial photogrammetry has played an important role in geological survey. Traditional aerial measurements are carried out by manned large aircraft, with a large volume of measured information and a wide range of shots. This method is suitable for large area operation, which is high and expensive for hardware site. UAV air measurement systems are usually used for small area measurements. The UAV

Ding Li, Chong Jiao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 99–103

Article

STUDY ON IMAGE COMPRESSION AND FUSION BASED ON THE WAVELET TRANSFORM TECHNOLOGY

With the development of information technology, the rapid development of microelectronics technology, image information acquisition and use is also increasing, sensor technology also unceasingly to reform. A single sensor information obtained is limited, often can not meet the actual needs, in addition, different sensors have the advantage of the imaging principle and its unique, as in color, shape characteristics, band access, spatial resolution from the aspects of all have their own

Zhang Ning, Zhu Jinfu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 480–496

Article

Research and Realization on the key technology of Motion Image Matching Based on UAV

I. INTRODUCTION UAV is named quad-rotor aircraft or quad-rotor UAV [1], It is a four-propeller sky aircraft with cross-shaped propellers. The UAV can be used to take aerial photos or record video with an optical camera or miniature video recorder. UAV photography measurement system is established on the basis of unmanned aerial vehicle (UAV) mobile platform, it is a kind of advanced measurement technology to achieve high spatial resolution remote sensing image data, it is playing the very major

Yuri Shebzukhov, Wang Yubian

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 1–6

Article

Image Inpainting Research Based on Deep Learning

With the development and popularization of computer technology, Internet technology and multimedia technology, digital image processing technology has also developed rapidly. In the process of storage, transmission and use of digital image information, the phenomenon of image information damaged and loss will occur. These damaged areas affect the visual effect of the picture and the integrity of the information, and have a certain impact on the application of the picture. People urgently need a

Zhao Li, Zhao Ruixia

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 23–30

Article

New Method of Image Smoothing and Edge Detection Based on Nonlinear Ambiguity Function

With the continuous development of the national economy and science and technology, the scope of the application of images is constantly expanding. The image has many uncertainties, and the improvement of this feature is often blurred and can not be accurately calibrated, which results in complex and diverse processing techniques. Image smoothing and edge detection are very important feature technologies in image processing, and they also the research focus in the field of image processing

Yanhong Jin

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 138–140

Article

IMAGE PROCESSING AND RECOGNITION ALGORITHM FOR TARGET TRACKING

to improve target tracking performance in dynamic target track system, this paper propose the processing method of positive and negative difference image to extract target information; research target image preprocessing algorithm, the separation and segmentation processing algorithm of target and background, target edge detection and extraction based on the collected images; use Laplace operator, Canny operator. Gauss-Laplace operator to gain target information and improved recognition target

Liping Lu, Jinfang Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 353–376

Research paper

PERFORMANCE ANALYSIS FOR DCT-BASED CODED IMAGE COMMUNICATION IN WIRELESS MULTIMEDIA SENSOR NETWORKS

The objective of this paper is to study the image communication behavior of a wireless video sensor, and analyze its performance under resource constrained wireless multimedia sensor networks. Energy consumption and rate distortion model of DCT-based coded image compression and transmission is developed. Based on energy consumption and rate distortion model proposed, resource allocation is optimized with limited energy and bandwidth. Number of DCT coefficient and step size of quantization table

Xiong Zheyuan, Fan Xiaping, Liu Shaoqiang, Li Yongzhou, Zhang Huan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 120–135

Article

DESIGN OF COMPLICATED DUPLICATE IMAGE REPRESENTATION APPROACH BASED ON DESCRIPTOR LEARNING

In order to solve the low discrimination of image representations in complicated duplicate image detection, this paper presents a complicated duplicate image representation approach based on descriptor learning. This approach firstly formulates objective function as minimizing empirical error on the labeled data. Then the tag matrix and the classification matrix of training dataset are brought into the objective function to ensure semantic similarity. Finally, by relaxing the constraints, we

Yongjiao Wang, Xiaojie Du, Lei Liang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 992–1010

Article

Image Transformation Based on Generative Adversarial Networks

cluster the original input data. In terms of model, algorithm and hardware facilities, deep learning has changed the difficulties of traditional neural network optimization, limited application, slow calculation and low recognition, making the influence of deep learning expanding. At present, deep learning has become a mainstream method in artificial intelligence research. The breakthrough of deep learning in supervised learning tasks, especially in the field of image, is particularly noticeable

Jie Chen, Li Zhao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 93–98

Research Article

A Coarse-to-Fine Approach for Remote-Sensing Image Registration Based on a Local Method

Multispectral satellite imagery registration is a fundamental step for remote sensing applications such as global change detection, feature classification, and image fusion. Since image registration via the manual selection of control points is a repetitive and time-intensive task, a more efficient automatic coarse-to-fine algorithm for multispectral remote sensing image registration is proposed in this paper. First, for the coarse registration, the Haar Wavelet Transform (HWT) is adopted to

Sang Rok Lee

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 690–702

Article

IMAGE SEGMENTATION ALGORITHM BASED ON COLOR FEATURES: CASE STUDY WITH GIANT PANDA

Color which is one of the basic features of the image is widely used in image processing. The choice of color space is a primary issue for the color image segmentation based on color features. In this paper, giant pandas are chosen as the research objects. In order to achieve good segmentation results, different color spaces and the corresponding algorithms are chosen for image segmentation according to the color characteristics of different background of panda images. There are three kinds of

Hua Wang, Jiang Xiao, Junguo Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 799–817

Article

APTIVE IMAGE SEGMENTATION BASED ON SALIENCY DETECTION

in this article, we propose an adaptive image segmentation method based on saliency. First of all, we obtain the saliency map of an image via four bottom-layer feature tunnels, i.e. color, intensity, direction and energy. The energy tunnel helps to describe the outline of objects better in the saliency map. Then, we construct the target detection masks according to the greyness of pixels in the saliency map. Each mask is applied to the original image as the result of pre-segmentation, then

Shui Linlin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 408–428

Article

Research and Implementation of the Key Technology of UAV Aerial Image Transmission

With the maturity of UAV technology, especially the cost of the four rotor unmanned aerial vehicle is decreasing, the unmanned aerial vehicle (UAV) will be a trend in the future. At the same time, because ZigBee has the characteristics of low cost, low speed and short transmission distance, we use ZigBee to achieve the transmission of image files between UAV and ground receiving system computers. This paper introduces the system design and software program module hardware node design, the first

Fan Yijun, Lai Yufeng

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 75–79

Research Article

On Evolution of CMOS Image Sensors

CMOS Image Sensors have become the principal technology in majority of digital cameras. They started replacing the film and Charge Coupled Devices in the last decade with the promise of lower cost, lower power requirement, higher integration and the potential of focal plane processing. However, the principal factor behind their success has been the ability to utilise the shrinkage in CMOS technology to make smaller pixels, and thereby have more resolution without increasing the cost. With the

Luiz Carlos Paiva Gouveia, Bhaskar Choubey

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–6

Article

Lidar Image Classification based on Convolutional Neural Networks

higher accuracy when dividing the cloud with 27x35 cells. Comparison of point cloud cell image method with VoxNet method, experimental results show that the classification method based on gray image and convolutional neural network has more advantages than the most advanced point cloud recognition network Voxnet.

Yang Wenhui, Yu Fan

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 158–162

Research Article

Image Quality Testing: Selection of Images for Assessing Test Subject Input

Determining image quality is dependent to some degree on human interpretation.  Although entirely subjective methods of evaluating image quality may be adequate for consumer applications, they are not acceptable for security and safety applications where operator interpretation may lead to missing a threat or finding threats where they do not exist.  Therefore, methods must be developed to ensure that the imagery used in security and safety applications are of sufficient quality to

John Jendzurski, Nicholas G. Paulter, Francine Amon, Eddie Jacobs, Al Bovik, Todd Goodall

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–4

Article

COMPRESSIVE SENSING BY COLPITTS CHAOTIC OSCILLATOR FOR IMAGE SENSORS

Compressive sensing uses simultaneous sensing and compression to provide an efficient image acquisition technique and it has been demonstrated in optical and electrical image sensors. To guarantee exact recovery from sparse measurements, specific sensing matrix, which satisfies the Restricted Isometry Property (RIP), should be well chosen. Toeplitz-structured chaotic sensing matrix constructed by Logistic map has been proved to satisfy RIP with high probability. In this paper, we propose that

Li Liu, Peng Yang, Jianguo Zhang, Guifen Wei

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1225–1243

Article

THREE-STEP REGISTRATION AND MULTI-THREAD PROCESSING BASED IMAGE MOSAIC FOR UNMANNED AERIAL VEHICLE APPLICATIONS

In the area of image mosaic for unmanned aerial vehicle (UAV) applications, the problems of precision and time consumption have drawn many scholars’ attention. To address above two problems, a novel algorithm based on three-step registration and multi-thread processing is proposed in this paper. This method divides the image registration into three steps to improve the precision. Firstly, based on the SIFT features, the fast index mechanism k-d tree and the Euclidean distance are utilized to

Hongguang Li, Wenrui Ding, Yufeng wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1090–1109

Research Article

Method for pre-processing of level crossing image

Actuality of problem in the improvement of transport safety at level crossings (LC) is caused by increasing the number of vehicles and reducing discipline of vehicle drivers. One of ways for solution of this problem is associated with using the video surveillance systems for monitoring danger area of level crossing. In such systems due to the limited bandwidth of data channel usually the image compression techniques are used. In this paper the pre-processing method for compression of images is

Roman RYBALKA, Konstantin HONCHAROV

Transport Problems , ISSUE 1, 79–86

research-article

Image processing approach for grading tobacco leaf based on color and quality

triggers the mechanization of tobacco manufacture to push mass production. Therefore, many types of research that support tobacco manufacture especially the tobacco leaf grading system are conducted and sponsored by agribusiness companies. Most of the research works employ image processing techniques to determine the quality of tobacco leaf (Ni et al., 2009; Zhang and Zhang, 2011; Liu et al., 2012; Mallikarjuna and Guru, 2013; Bin et al., 2016; Jianqiang et al., 2018). It was expected because image

Agus Harjoko, Adhi Prahara, Tri Wahyu Supardi, Ika Candradewi, Reza Pulungan, Sri Hartati

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–10

Article

The Disease Assessment of Cucumber Downy Mildew Based on Image Processing

Cucumber downy mildew is a kind of disease which spreads very fast and isdangerous, in order to prevent the disease, peoplealways spray plenty of pesticides indiscriminately. Accurate assessment of the level of cucumber downy mildew is very important to the disease prevention and control. In a cucumber growing season, this paper collected the typical cucumber downy mildew leaf samples, and developed the downy mildew spot extraction algorithm by using leaf image scanning method, calculated the

Jingzhu Li, Peng Wang, Changxing Geng

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 176–180

Research paper

Image Quality Assessment Method for Underwater Acoustic Communication Based on Digital Watermarking

This paper proposes a method of reduced-reference image quality assessment based on watermarking algorithm in underwater acoustic channel. By embedding the watermark image into the original one, then delivering the combined image through the channel distortion, the same channel distortion would be exposed to the original and the watermark image. In the receiver,we use the blind extraction methods to recover the watermark image and use the watermark degradation to evaluate the quality of the

YUAN Fei, YE Zheng-Shan, LIN Cong-Ren, CHENG En

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 752–771

Article

Research on the Tunnel Geological Radar Image Flaw Detection Based on CNN

learn features from data. In 2012, in the ImageNet image classification competition, Alex Krizhevsky’s team proposed the deep convolutional neural network AlexNet for the first time. AlexNet won the champion with an accuracy rate of 15.3% higher than the second place, which made people have a further understanding of the application of convolutional neural network in visual tasks. Girshick R proposed the regional convolutional neural network (RCNN) model, which USES the Selective Search method to

He Li, Yubian Wang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 44–53

Research Article

A Robot Succeeds in 100% Mirror Image Cognition

Humans are capable of identifying their own image when reflected in a mirror. This mechanism is a mystery that has never been solved. I created a program that achieved such awareness on a robot and conducted three experiments. The first was an experiment on a self robot that imitates its own self-image reflected in a mirror. The second experiment had a robot imitating another robot of the same type which was made to perform the same behavior. The last was an experiment using two robots of the

Junichi Takeno

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 891–911

Article

Image Watermarking Encryption Scheme Based on Fractional Order Chaotic System

Now the chaotic system and wavelet transform are more and more widely used in the watermarking technology. At the same time, the fractional order chaotic system has more complex dynamic characteristics than the integer order system. So a new image watermarking scheme based on the fractional order Chen chaotic system and discrete wavelet transform is proposed. Chaotic sequences generated by chaotic system are used to encrypt the watermark image, and the processed watermark information is

Dawei Ding, Zongzhi Li, Shujia Li

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 79–89

Article

VEHICLE MODEL RECOGNITION BASED ON USING IMAGE PROCESSING AND WAVELET ANALYSIS

Today, using intelligent transport systems such as identifying vehicle type for monitoring traffic in urban areas can advantage a lot. In this paper, a new method has been presented to detect vehicle type with only one reference image per class. Our algorithm is based on searching mean gradients and analysing these changes by Daubechies wavelet transformation. Firstly, a feature vector is obtained based on the car boundary changes of the side view image in proposed system. This vector is then

Elyas Abbasi Jennat Abadi, Soheyl Akhlaghi Amiri, Masoud Goharimanesh, Aliakbar Akbari

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2212–2230

Article

A STUDY OF X-RAY MACHINE IMAGE LOCAL SEMANTIC FEATURES EXTRACTION MODEL BASED ON BAG-OFWORDS FOR AIRPORT SECURITY

The aviation security at the airport has been faced with increasingly severe situations since the 9-11 event. It’s of utmost importance to train airport X-ray machine screener’s image recognition competency. So they can prevent terrorists from bringing dangerous articles in their carry-on or checked bags. However, usually the luggages are placed in different positions and the density & volume of articles differ greatly. As a result, dangerous articles show a variety of X-ray image features

Ning Zhang, Jinfu Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 45–64

Article

Fast Aerial UAV Detection Based on Image Segmentation and HOG-FLD Feature Fusion

In order to detect non-cooperative target UAV quickly and accurately, a novel method of UAV detection method based on graph theory and HOG-FLD feature fusion is presented in this paper. In order to avoid the time-consuming full search, the candidate areas of the UAV are obtained through the selective search of the image segmentation and the similarity, and the features are extracted through the method of gradient orientation histogram fusion FLD linear to train the SVM classifier with

Li Xiaoping, Lei Songze, Wang Yanhong, Xiao Feng, Penghui Tian

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 106–114

Article

COMPUTER VISION-BASED COLOR IMAGE SEGMENTATION WITH IMPROVED KERNEL CLUSTERING

Color image segmentation has been widely applied to diverse fields in the past decades for containing more information than gray ones, whose essence is a process of clustering according to the color of pixels. However, traditional clustering methods do not scale well with the number of data, which limits the ability of handling massive data effectively. We developed an improved kernel clustering algorithm for computing the different clusters of given color images in kernel-induced space for

Yongqing Wang, Chunxiang Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1706–1729

Research Article

AN ARTIFICIAL IMMUNE NETWORK CLUSTERING ALGORITHM FOR MANGROVES REMOTE SENSING IMAGE

Because of not needing training samples and performing the classification just according to the inherent similarity of data in the multidimensional space, unsupervised classification method now gets more and more attention by remote sensing data analyst. Duo to the special growth environment of mangroves, field measurements is difficult to be done to obtain training samples. Therefore unsupervised method provides a good adjunct way for the classification of mangroves remote sensing image. This

Yanmin LUO, Peizhong LIU, Minghong LIAO

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 116–134

Article

ENHANCED IRIS RECOGNITION BASED ON IMAGE MATCH AND HAMMING DISTANCE

Iris recognition and favor because of its high recognition rate, noninvasive and simple algorithm and other advantages, in a variety of biometric identification technology is very prominent. The iris texture feature extraction is the core of the iris recognition algorithm. Fractal geometry theory provides new ideas and methods to express nonlinear image information, the fractal dimension is an important parameter of fractal geometry, is a measure of complexity of irregular change, covering

Gao Xiaoxing, Feng Sumin, Cui Han

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1085–1103

Article

Research on Image Denoising Adaptive Algorithm for UAV Based on Visual Landing

the gravity of classical physics to image pixel, come up with a mathematical expression for the strength of gravity between pixels, then conformed the adaptive window by the gravity between pixels and performed corresponding filtering processing. It is shown by the experimental results that this algorithm has a great improvement on image denoising and detail preserving when compared with the traditional median filtering and switching median filtering algorithms.

Pengrui Qiu, Xiping Yuan, Shu Gan, Yu Lin

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 114–117

Article

Research on the Application of Convolutional Neural Networks in the Image Recognition

analytical judgments about the data. Compared to traditional machine learning methods, it has achieved good results in search technology, image recognition, machine translation, natural language processing, multimedia learning, speech, recommendation and personalization technologies. With the practice of researchers in various fields, many network models have been proposed, such as DBN (Deep Belief Network), CNN (Convolutional Neural Network), RNN (Recursive Neural Network), etc. The introduction of CNN

Gao Zhiyu, Liu Bailin, Gu Hongxian, Mu Jing

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 31–38

Research paper

A robotic arm to sort different types of ball bearings from the knowledge discovered by size measurements of image regions and RFID support

In this paper, the authors present a mechatronics system consisting of an intelligent robotic arm able to sort ball bearings having the same colour and shape drawing advantage from vision. After acquiring and processing an image from a camera, two almost concentric and circular regions are extracted from the image and their areas are calculated as number of pixels belonging to them. The center of these regions provides the point that the end-effector has to reach in order to grip a cylindrical

Nicola Ivan Giannoccaro, Luigi Spedicato, Aimè Lay-Ekuakille

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 674–700

Article

IMAGE FUSION BASED ON JOINT NONSUBSAMPLED CONTOURLET AND OVERCOMPLETE BRUSHLET TRANSFORMS

This paper proposed an image fusion method based on a novel scheme with joint nonsubsampled contourlet and overcomplete brushlet transform. And an improved region energy operator is employed as the fusion strategy, which can take full advantage of the anisotropic texture information and multidimensional singular information in the new multiresolution domain. Experimental results shows that the proposed method improved the fusion results not only in visual effects but also in objective

Zhang Pai

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2186–2203

Article

REVERSIBLE WATERMARKING AUTHENTICATION ALGORITHM FOR COLOR IMAGES BASED ON COMPRESSED SENSING

Aiming at the shortcomings of existing reversible watermarking for image authentication, such as poor ability of tamper detection and localization, and low attention of reconstruction after tampering, a reversible watermarking authentication algorithm based on compressed sensing for color image was proposed. On the side of the sender, the original image has been divided into blocks and carried out compressed sensing to generate image hash which works as the watermark information, and was

Dong Ruihong, Zuo Hangzhou, Zhang Qiuyu, Wu Dongfang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1073–1089

Article

DESIGN AND IMPLEMENTATION STEGANOGRAPHY SYSTEM BY USING VISIBLE IMAGE

Steganography refers to the technique of concealing secret information into another cover-media, such as audio, video, image and text in such a manner that the very existence of the information is camouflaged while secret is kept from the knowing of attacker. Watermarking is closely related to Stenography except that it hides information in cover object. Watermarking usually serves the purpose of copyright protection and ownership authentication, for example, watermarking can hide a stego-image

Hamdan Lateef Jaheel, Zou Beiji, Ahmed Lteef Jaheel

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1011–1030

Article

SMALL TARGET DETECTION BASED ON INFRARED IMAGE ADAPTIVE

This paper studies the multi-resolution analysis of infrared image preprocessing method based on wavelet transform, wavelet transform infrared image of small target for pretreatment, after pretreatment suppressed image background clutter, improved signal to noise ratio. On this basis, studies based on infrared image sequences generated background Kalman filter and target detection algorithm, given the principle of the algorithm, time-domain method for generating fading background and moving

Hao Chen, Hong Zhang, Yifan Yang, Ding Yuan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 497–515

Article

AUTOMATIC SEGMENTATION OF BRAIN TUMOR MAGNETIC RESONANCE IMAGING BASED ON MULTI-CONSTRAINS AND DYNAMIC PRIOR

The most difficult and challenging problem in medical image analysis is image segmentation. Due to the limited imaging capability of magnetic resonance (MR), the sampled magnetic resonance images from clinic always suffer from noise, bias filed (also known as intensity non-uniformity), partial volume effects and motive artifacts. In additional, for the complex shape boundary and topology of brain tissues and structures, segmenting magnetic resonance image of brain tumor fast, accurately and

Liu Erlin, Wang Meng, Teng Jianfeng, Li Jianjian

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1031–1049

Article

Design of the Hotel Monitoring System for the Image and Video Collection

With the more attention of the security of the hotels, an effective hotel monitoring system was required. Based on the Samsung S3C2440, the proposed system uses the Linux system to accomplish the intelligent video surveillance. Using the image acquisition process and the embedded BOA server, designed an intelligent video image acquisition system. The system capturing image by the USB camera and building an embedded Web server, which complete the image acquisition, image processing, and the

Wang Pengfei

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 23–26

Research Article

MACHINE VISION BASED MISSING FASTENER DETECTION IN RAIL TRACK IMAGES USING SVM CLASSIFIER

Missing fastener detection is a critical task due to its similar characteristics with surrounding environments. In this paper, a machine vision based fully automatic detection and classification of missing fastener detection system is proposed using Support Vector Machine (SVM) classifier. This proposed system consists of preprocessing, transformation, feature extraction and classifications. Image resizing is performed as preprocessing step and Gabor transform is used as transformation

R. Manikandan, M. Balasubramanian, S. Palanivel

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 574–589

Article

Single Image Dehazing Based on Deep Neural Network

This paper proposes a single image dehazing based on deep neural network that is to deal with haze image. In this paper, we build up a deep neural network to restore the hazy image.We test our method both objective and subjective and compare with classical method for dehazing. Our test shows that our method works better than the others in reducing Halo effect and also our method does well in restore colorful of input image. Finally, our method process faster.

Dewei Huang, Kexin Chen, Jianqiang Lu, Weixing Wang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 10–14

Article

A STUDY ON OPTIMIZATION METHODS OF X-RAY MACHINE RECOGNITION FOR AVIATION SECURITY SYSTEM

Traditional X-ray machine image recognition methods for airport security system have difficulties in recognition and are prone to result in recognition errors due to the impact of placing angle, density and volume of detected objects. This paper accurately describes the image features of X-ray machine visual image, carries out SVM classification after a visual dictionary is formed and enhances the accuracy of image discrimination by means of robust acceleration. The experimental results

Ning Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1313–1332

Article

DESIGN OF DIGITAL IMAGE ENCRYPTION ALGORITHM BASED ON MIXED CHAOTIC SEQUENCES

Digital image scrambling is to transform a digital image, to make it unrecognizable and become another chaos images without obvious meaning. If the operator knows the algorithms, he can reconstruct the original image from the chaos image by using the certain algorithms. Image scrambling encryption technology that based on Chaos Theory encrypts the image data stream through using the chaotic signal. It has the advantage like high security, encryption speed, large key space, and good scrambling

Wenqing Chen, Tao Wang, Bailing Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1453–1469

Article

Research of Image Pre-processing Algorithm Based on FPGA

How to design a low-cost , reliable and real-time target recognition system with large amount of data has become a hot topic in the area of image processing .However, Edge detection has played an important role in target recognition system. The threshold of traditional canny edge detection algorithm must be setting by human, and has a large number of calculations. In order to overcome the shortcomings of the traditional Canny algorithm, proposing an adaptive threshold edge detection algorithm

Yang Yongjin, Zhou Xinmei, Xiang Zhongfan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1499–1515

Article

DIGITAL IMAGE WATERMARKING ALGORITHMS BASED ON DUAL TRANSFORM DOMAIN AND SELF-RECOVERY

In view of dual watermarking algorithm for dual two value image watermarking, the watermark information there is a gray image watermarking in the expression is obviously insufficient. The proposed embedded in the carrier image on the dual watermark includes a two watermark image and a gray image watermarking algorithm, the persuasive power while maintaining the original two values of the watermark robustness at the same time, improve the watermark information. In order to balance the robustness

Zhu Yuefeng, Lin Li

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 199–219

Article

IMAGE FUSION AND RECOGNITION BASED ON COMPRESSED SENSING THEORY

As the compressed sensing theory can offer a better performance than Nyquist sampling theorem when dealing with large amounts of data, it becomes very popular for image fusion and target recognition in image processing. In this paper, a new image fusion algorithm based on compressed sensing was proposed. By discrete cosine transform, it fused images through weighted coefficient, recovered the fusion images by basic pursuit algorithm. Moreover, a recognition algorithm in compressed sensing was

Qiuchan Bai, Chunxia Jin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 159–180

Article

A DCT Domain Image Watermarking Method Based on Matlab

In the text, A method of image watermarking based on DCT (Discrete Cosine Transform) domain algorithm is proposed and verified in experiment by Matlab. The experimental result shows that the current method can achieve embedding with sound robustness and invisibility. From the experimental results, the quality of the watermarked image is almost no decline relative to the original.

Wu He-Jing

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 38–45

Article

A HYBRID FUZZY MORPHOLOGY AND CONNECTED COMPONENTS LABELING METHODS FOR VEHICLE DETECTION AND COUNTING SYSTEM

A hybrid fuzzy morphology and connected components labeling method is proposed for detecting and counting the number of vehicles in an image taken from a traffic monitoring camera. A fuzzy morphology approach in image segmentation method is used in the system to achieve faster computation time compared to the supervised learning. The connected components labeling method is combined with a fuzzy morphology method to determine the region and number of objects in an image. The processing phases in

Chastine Fatichah, Joko Lianto Buliali, Ahmad Saikhu, Silvester Tena

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 765–779

Article

A NOVEL GRID INTERSECTION POINT DETECTION AND MATCHING METHOD IN THE BINOCULAR PULSE MEASUREMENT SYSTEM

To improve the accuracy of binocular 3D image reconstruction, the grid-pattern structure lines are printed on the detected objects and the grid lines intersection points are adopted as feature points and primitives in matching process. In this paper, a novel method for detecting the intersection points of the grid lines based on image segmentation and ridge line fitting is proposed. Firstly, the set of line segments on the border of the grid lines are extracted using the Canny edge detector and

L. M. Yang, A. H. Zhang, D. M. Lin, L. Zhu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 256–273

Research Article

AN ANTI-EMULATION STRUCTURE FOR INTERNET DESPOSITORY USING SECURED IMAGE VALIDATION SCHEME

Emulation attack is an effort by an individual or a group to steal personal confidential information such as passwords, credit card information etc, New approach called visual secret sharing scheme (VSS) for cloning websites classification to solve the problem of Phishing attack. The novel system is developed with the things that eradicate the drawbacks of the existing system. The main aim of visual secret sharing scheme is to conserves the solitude of image by decay the original image into two

Anupriyan K, Santhosh Kumar C, Nagaraj N

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 62–68

Research Article

IMPROVED MEASURE ALGORITHM BASED ON CoSaMP FOR IMAGE RECOVERY

In order to improve the quality of the reconstruction image which using Compressive sensing(CS) algorithm. Based on improved measurement matrix combined with CS Matching Pursuit(CoSaMP)algorithm, this paper presents a kind of Fourier Ring Compressive Sampling Matching Pursuit (FR-CoSaMP) algorithm. The algorithm superimposed deterministic ring measurement matrix to optimize measurement process on the basis of Fourier measurement matrix. And solve the iterative inverse operation by using FFT

Guohui Wu, Xingkun Li, Jiyang Dai

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 724–739

Article

RESEARCH OF DUAL WATERMARKING TECHNOLOGY FOR DIGITAL IMAGE

Digital image watermark has been studied as object. It analyzed the typical digital watermark algorithms based on the space domain and transform domain and key researched watermarking algorithm based on discrete wavelet transform. It has designed and improved blind watermarking algorithm and color image watermarking algorithm. Finally, based on the two improved watermarking algorithm, it has designed a dual watermarking algorithm. Both are separated but related. It authenticates dual

Fang Yinglan, Han Bing, Zhang Yongmei, Tian Lin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2167–2185

Article

MULTI-SCALE COMPRESSED SENSING BASED ON SPLIT AUGMENTED LAGRANGIAN SHRINKAGE ALGORITHM FOR IMAGE SUPER-RESOLUTION RECONSTRUCTION

This paper proposes a multi-scale compressed sensing algorithm in shearlet domain by exploiting discrete Shearlet transform which can optimally represent the images with edges. An image is decomposed by shearlet. The compressed sensing is deployed in each of the directional sub-bands of high frequency scales. And inverse measurement matrix is modified by the upsampling operator to enhance the resolution of image. In addition, the original image reconstructed by compressed sensing based on super

Tian Shu-yao, Hu Chun-hai

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 563–579

Article

MODERNIST DETERMINANTS VS THE SHAPE OF URBAN SPACE. THE METHOD OF INDICATING FACTORS WHICH DECIDE ABOUT THE CITY'S IMAGE

The aim of the paper is to demonstrate a scheme of research connected with the shape of an urban space and its determinants. As a basis, elements of a city and their spatial features deciding about the characteristic and individual image of an urban organism were determined. They were defined using the example of the evolution of European cities from ancient times until modernism and the analysis of various methods of characterising the tissue of a city. The reference to modernism is justified

Jan RABIEJ, Aleksandra TOMKIEWICZ

Architecture, Civil Engineering, Environment , ISSUE 4, 33–42

Article

Analysis and Design of Image Segmentation Algorithm Based on Super-pixel and Graph Cut

I. INTRODUCTION Image segmentation is the division process of independent regions in an image with particular meaning which makes the same region represent the same features. The purpose is extracting the interesting parts called “the foreground”, and the rest parts are called “the background”. However, the characteristic differences between the foreground and the background may be reflected in various aspects such as grayscale, contour, texture, etc., so there is currently no general algorithm

Feng Xiao, Hao Sun

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 25–30

Article

SPECTRAL CLUSTERING WITH SPATIAL COHERENCE PROPERTY JOINTING TO ACTIVE CONTOUR MODEL FOR IMAGE LOCAL SE GMENTATION

Local Segmentation is the fundamental task for image processing. Consider to the problem of low segmentation precision and contour control instability for image local segmentation, a local segmentation theory is researched that based on SSCACM (spectral clustering with spatial coherence property jointing active contour model). First, by applying spatial coherence property constraint of image pixels to spectral clustering, an adaptive similarity function is constructed and the corresponding

Guang Hu, Shengzhi Yuan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1731–1749

Article

A SCENE RECOGNITION ALGORITHM BASED ON MULTI-INSTANCE LEARNING

In Bag of Words image presentation model, visual words are generated by unsupervised clustering, which leaves out the spatial relations between words and results in such shorting comings as limited semantic description and weak discrimination. To solve this problem, we propose to substitute visual words by visual phrases in this article. Visual phrases built according to spatial relations between words are semantic distrainable, and they can improve the accuracy of Bag of Words model

Tao Wang, Wenqing Chen, Bailing Wang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1470–1492

Article

AUTOMATIC FETAL ORGANS DETECTION AND APPROXIMATION IN ULTRASOUND IMAGE

This paper proposed a system for detecting and approximating of a fetus in an ultrasound image. The fetal organs in the ultrasound image are detected using Multi Boundary Classifier based Adaboost.MH. The results of the fetal detection is then approximated Randomized Hough Transform and the whole showed a mean accuracy of 95.80%. The mean of the Hamming Error 0.019 and the Kappa coefficient value reaches 0.890.The proposed method has the best performancefor fetal organ detection. This is proven

M. Anwar Ma’sum, Wisnu Jatmiko, Budi Wiweko, Anom Bowolaksono

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 720–748

Article

Design and Development of the Mass Image Storage Platform Based on Hadoop

With fast development and deep appliance of the Internet, problem of mass image data storage stand out, so the problem of low management efficiency, low storage ability and high cost of traditional storage framework has appeared. The appearance of Hadoop provides a new thought. However, Hadoop itself is not suit for the handle of small files. This paper puts forward a storage framework of mass image files based on Hadoop, and solved the internal storage bottleneck of NameNode when small files

Xiaoqing Zhou, Jiangjing Gou, Zhiyong Zhou, Jiaxiu Sun

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 80–83

Research Article

Automated Traffic Analysis in Aerial Images

In this work an automated traffic analysis in aerial image sequences recorded by an unmanned aerial vehicle (UAV) has been developed, which provides the trajectories of the vehicles especially during overtaking. Methods of photogrammetry and image processing are used to detect the vehicles and to determine and track their positions. Camera calibration is necessary in order to transform image coordinates into world coordinates.

Tom Hößler, Tom Landgraf

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1–5

research-article

A novel approach to label road defects in video data: semi-automated video analysis

, and context. Support vector machines (SVM) represent another supervised classification method for road condition monitoring, applied by Lin and Liu (2010). Maeda et al. (2018) were the first to introduce a comprehensive labeled image data set for road damage recognition. The damage types are separated into the four main classes longitudinal cracks, lateral cracks, alligator cracks, and severe damages like potholes or bumps. Additionally, the classes ‘crosswalk blur’ and ‘white line blur’ are

Jakob Thumm, Johannes Masino, Martin Knoche, Frank Gauterin, Markus Reischl

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–9

Research Article

STUDY OF ENDOSCOPY FOR DENTAL TREATMENT

Observation of the oral cavity microstructure is an important factor for a successful dental treatment. None of the many currently available diagnostic equipment can accurately observe the microstructure. In this study, we have designed an endoscope with a single graded-index multimode fiber of 600-µm diameter that can reach the narrow spaces in the oral cavity and can perform both image acquisition and sample illumination using a prism beam splitter, unlike the conventional endoscope using

Shinji Yoshii, Yupeng Zhang, Satoshi Ikezawa, Chiaki Kitamura, Tatsuji Nishihara, Toshitsugu Ueda

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–17

Article

Hierarchical Image Object Search Based on Deep Reinforcement Learning

I. INTRODUCTION When observing a picture, humans can immediately know the location and category of the object in the image, and can get the information without even thinking too much. This is a breeze for us, but the computer cannot have all kinds of complicated ideas of our human brain, and it is not easy to realize it. In computer vision, the positioning and retrieval of images will be affected by two aspects, one is the content of the image, and the other is the pros and cons of the

Wei Zhang, Hongge Yao, Yuxing Tan

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 65–72

Article

CAPACITY ENHANCEMENT OF MESSAGES CONCEALMENT IN IMAGE AND AUDIO STEGANOGRAPHY

Jasril, Ismail Marzuki, Faisal Rahmat

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 1970–1985

Research Article

FPGA-Based Implementation of Real Time Optical Flow Algorithm and Its Applications for Digital Image Stabilization

Robert Piotrowski, Stanislaw Szczepanski, Slawomir Koziel

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 253–272

Article

Improvement and Realization of CamShift Algorithm Based MotionImage Tracking

insufficient in the process of extracting features, it is easy to lose tracking of the object and the tracking effectwould deteriorate. On the contrary, the calculation amount and complexity will be greatly increased, and unableto satisfy the actual application. Although the Harris corner detection method is a traditional point of interest detection method, due to its fixed scale characteristics, it is becoming difficult to determine the change ofposition of the target object between image frames when the

Wang Yubian, Yuri Shebzukhov

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 97–101

Research Article

NEW INTELLIGENT CLASSIFICATION METHOD BASED ON IMPROVED MEB ALGORITHM

. We also use the proposed algorithm to handle Binary Classification, Multi-class Classification, and Image Clustering problems. Experiments on both synthetic and real-world data sets demonstrate the validity of the algorithm we proposed.

Yongqing Wang, Lei Liu

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 72–95

Article

PRE-PROCESSING OF AUTOMATIC SKIN CANCER DETECTION SYSTEM: COMPARATIVE STUDY

design of whole system and focus in preprocessing step of the automatic system. Preprocessing as the basis of automation system plays a vital role for accurate detection. This paper implements three techniques of contrast enhancement in the framework of three methodologies to find out the most effective one for further processing. The quality of resulted images in each methodology has been found based on testing the skin cancer images database using three image quality measurements.

Azadeh N. Hoshyar, Adel .A. Jumaily, Afsaneh N. Hoshyar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1364–1377

Research paper

EDGE EXTRACTION USING IMAGE AND THREE-AXIS TACTILE DATA

This paper describes a hand-arm system equipped with optical three-axis tactile sensors and a binocular vision sensor. The vision compensates for the limitations of tactile information and tactile sensing, and vice versa. The tactile sensor can obtain geometrical data as real scale, while image data requires calibration to obtain length as a metric unit. Even if stereovision is used, we cannot obtain sufficient precision. In the evaluation test, the robotic hand equipped with tactile sensors

Sukarnur Che Abdullah, Takuya Ikai, Yusuke Dosho, Hanafiah Bin Yussof, Masahiro Ohka

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 508–5026

Original Paper

Ultrasound image of malignant bone tumors in children. An analysis of nine patients diagnosed in 2011–2016

diagnostic method, makes it necessary to be familiar with sonographic presentation of bone tumors to suggest this diagnosis early enough and, after its verification, start treatment without a significant delay. Aim: The aim of this study was to determine changes in the sonographic image that might indicate a bone malignancy and suggest the need to extend the diagnostic process in this direction. Material and method: This article discusses 10 bone tumors in 9 children who had an ultrasound scan performed

Tomasz Madej, Joanna Flak-Nurzyńska, Ewa Dutkiewicz, Anna Ciechomska, Jerzy Kowalczyk, Andrzej Paweł Wieczorek

Journal of Ultrasonography , ISSUE 73, 103–111

Article

MODELING AND MEASUREMENT SYSTEM FOR MAGNETIC FIELD DISTRIBUTIONS IN BIOLOGICAL STRUCTURES

visualized. Using these 2D images as slices of 3D image and based on the field theory and image processing techniques we developed a reconstruction approach for 3D visualization of magnetic field. This approach combines new technologies of 3D visualizations and characterizes with flexibility, simplicity and portability. The proposed approach was successfully applied for 3D reconstruction and visualization of magnetic field and current distributions in biological structures. The virtual microscope is

I. Marinova, V. Mateev, H. Endo, Y. Saito

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 262–278

Research Article

A TOTAL QUALITY ASSESSMENT SOLUTION FOR SYNTHETIC APERTURE RADAR NLFM WAVEFORM GENERATION AND EVALUATION IN A COMPLEX RANDOM MEDIA

A Design, simulation and optimal selection of non-linear frequency modulation waveforms (NLFM) based on correlated ambiguity function (AF) quality analysis for the purpose of Synthetic Aperture Radar (SAR) is done in this article. The selected optimum CNLFM waveform in contribution with other waveforms are applied directly into a SAR image formation algorithm (IFA) and their quality metrics in comparison to other waveforms are derived and analyzed in a complex random media (CRM). The total

Iman Heidarpour Shahrezaei, Morteza Kazerooni, Mohsen Fallah

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 174–198

case-report

Intraoperative decision to change the course of management based on an ultrasonographic image of urinary bladder paraganglioma – a case study

a posterior bladder wall (Fig. 1). Since a cystoscopic image did not correspond with typical urothelial leasion, an intraoperative ultrasonographic transvaginal examination was carried out (Fig. 2, Fig. 3, Fig. 4). Fig. 1. Cystoscopic image of a urinary bladder tumor. A rich submucosal vascular network is conspicuously displayed; mucosa adjacent to tumor is unchanged Fig. 2. Urinary bladder image in trans-abdominal examination in transverse plain. Tumor infiltrating through a bladder wall

Waldemar Białek, Piotr Kawecki, Katarzyna Dyndor, Lech Wronecki, Sławomir Rudzki

Journal of Ultrasonography , ISSUE 77, 165–170

Article

RANGE IMAGE SENSOR BASED EYE GAZE ESTIMATION BY USING THE RELATIONSHIP BETWEEN THE FACE AND EYE DIRECTIONS

Haruya Tamaki, Tsugunosuke Sakai, Yosuke Ota, Fusako Kusunoki, Shigenori Inagaki, Ryohei Egusa, Masanori Sugimoto, Hiroshi Mizoguchi

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, –

research-article

Effect of adding a capsule with activated charcoal to abdominal ultrasound preparation on image quality

world since it is available, safe and non-invasive. In routine abdominal ultrasound, patient preparation involving fasting for 8 hours and having a light meal the night before the examination is a common practice to avoid digestive motility and gases that may cause artifacts and degrade image quality. Even though patient preparation before abdominal ultrasound plays a major role in ensuring better visualization of internal organs and pathologies by minimizing artifacts caused by abdominal gases

Ahmed Abdul Jabar, Ibrahim Abbas, Nabeel Mishah, Mohammed Wazan, Motaen Tomehy

Journal of Ultrasonography , ISSUE 80, e12–e17

Article

FUSION ALGORITHM OF OPTICAL IMAGES AND SAR WITH SVT AND SPARSE REPRESENTATION

Due to the different imaging mechanism of optical image and Synthetic Aperture Radar (SAR) image, they have the large different characteristics between the images, so fusing optical image and SAR image with image fusion technology could complement advantages and be able to better interpret the scenes information. A fusion algorithm of Synthetic Aperture Radar and optical image with fast sparse representation on low-frequency images was proposed. For the disadvantage of target information easily

Yin Zhouping

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1123–1141

Article

SECURITY METHOD FOR COMBINATION STEGANOGRAPHY ALGORITHMS ON TRANSFORM DOMAIN FOR JPEG IMAGES

average user to securely transfer secret messages (picture) securely by hiding them in JPEG image file using local characteristics within the image. This paper is a combination of two steganography algorithms, which provide a strong backbone for its security. The proposed system hides the image unrevealed manner through the use of steganography algorithms to protect each other, where was used F4 algorithm as a wall to protect outguess01 algorithm. We combine between steganography algorithms (outguess

Hamdan L. Jaheel, Zou Beiji

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1962–1979

Article

Detection of Blink State Based on Fatigued Driving

neural networks generally extract facial features through image processing methods, and then extract the main features through convolutional layers, pooling layers, and fully connected layers to analyze and determine whether fatigue. Chen[6] uses the ASM algorithm to accurately locate the eyes and mouth area, calculates the eye’s aspect ratio, mouth height value, and black and white pixel ratio near the mouth, and obtains the blink frequency and mouth opening degree. The degree of mouth opening is

Lei Chao, Wang Changyuan, Li Guang, Shi Lu

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 24–29

review-article

Fetal cardiac function by three-dimensional ultrasound using 4D-STIC and VOCAL – an update

). The objective of this study is to review the published studies that assessed systolic function using 3D ultrasound combined with spatio-temporal image correlation (4D-STIC) and VOCAL. Analysis of systolic function Many techniques are available to evaluate cardiac function in fetuses, including Doppler blood flow, measurement of the heart chambers (cardiac biometrics) and of each interval of the cardiac cycle, CV by 3D/4D ultrasound, or the combination of several parameters. Therefore, MPI

Nathalie Jeanne Bravo-Valenzuela, Alberto Borges Peixoto, Milene Carvalho Carrilho, Ana Letícia Siqueira Pontes, Caroline Cevante Chagas, Christiane Simioni, Edward Araujo Júnior

Journal of Ultrasonography , ISSUE 79, 287–294

Article

A NOVEL APPROACH OF COMBINING STEGANOGRAPHY ALGORITHMS

Steganography is the act of hiding a message inside another message in such a way that the hidden message can only be detected by its intended recipient. In this paper, we combined two steganography algorithms namely JSteg and OutGuess algorithms, in order to exploit the beneficial characteristics and features of both algorithms to enhance the protection level for secret images. In our proposed approach, the secret message (image) is first concealed inside another image using JSteg algorithm

Hamdan Lateef Jaheel, Zou Beiji

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 90–106

Research Article

New Compression–Encryption Algorithm Using Chaos-Based Dynamic Session Key

This research proposes New Compression–Encryption Algorithm Using Chaos-Based Dynamic Session Key (CEA-CBDSK) to encrypt image data. CEA-CBDSK consists of an algorithm to generate initial symmetric keys and an algorithm to encrypt image data using four dynamic session keys derived from the initial keys. The key generation uses Discrete Wavelet Transform, Arnold Cat Map, and Cipher Block Chaining, while the image encryption is performed using the session keys produced by the chaotic

Emy Setyaningsih, Retantyo Wardoyo, Anny Kartika Sari

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–19

Article

Research on A Quantitative Assessment Model Based on Visual Perception in Low-Altitude Remote Sensing

In order to evaluate the recovery effect of the visible light band in the low-altitude remote sensing, the sensitivity and significance of the visual perception of the restored image are selected and optimized by the perceptual characteristics of the human visual system. Finally, the effective detail retention ability, Structure information, multi - scale similarity and visual fidelity. A kind of image - based image fog quantification evaluation model QAMVP is proposed based on visual

Jianqiang Lu, Weixing Wang, Kexin Chen, Bing Jiang

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 166–170

Research Article

CIRCULAR TRAFFIC SIGN CLASSIFICATION USING HOGBASED RING PARTITIONED MATCHING

This paper presents a technique to classify the circular traffic sign based-on HOG (histogram of oriented gradients) and a ring partitioned matching. The method divides an image into several ring areas, and calculates the HOG feature on each ring area. In the matching process, the weight is assigned to each ring for calculating the distance of HOG feature between tested image and reference image. The experimental results show that the proposed algorithm achieves a high classification rate of

Aryuanto Soetedjo, I Komang Somawirata

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 735–753

Article

Multiple Vehicle License Plate Location in Complex Background

In order to expand the application range of the intelligent traffic management system, and to solve the problem that the license plate positioning accuracy is low in the changing of the scene. On the basis of the analysis of previous methods advantages and disadvantages, applying deep learning model orientation method is proposed. The image expressed as graph of graph theory. Based on the principle of minimum spanning tree preliminary separate target objects in image of vehicle. Combined with

Yaxin Zhao, Li Zhao, Ya Li

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 62–68

Article

Key Point Detection in Images Based on Triangle Distribution of Directed Complex Network

Key point detection is still a challenging issue in pattern recognition. With the recent developments on complex network theory, pattern recognition techniques based on graphs have improved considerably. Key point detection can be approached by community identification in directed complex network because image is related with network model. This paper presents a complex network approach for key point detection in video monitoring image, which is both accurate and fast. We evaluate our method

Qingyu Zou, Jianwen Guan, Jing Bai, Weiliang Sun

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 190–193

Article

3D Target Recognition Based on Decision Layer Fusion

Target recognition has always been a hot research topic in computer image and pattern recognition. This paper proposes a target recognition method based on decision layer fusion. ModelNet[1]—The 3D CAD model library, which is used to be identified. Features are extracted from the model’s point cloud data and multi-view images. The image is identified using the AlexNet[2] network, The point cloud is identified by the VoxNet[3] network. The fusion algorithm is used in the decision layer to

Ma Xing, Yu Fan, Yu Haige, Wei Yanxi, Yang Wenhui

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 19–22

research-article

Competitive fitness analysis using Convolutional Neural Network

be achieved in two ways, both of which are applicable to competitive fitness assays featuring fluorescently marked competitor strains. First, flow-based systems, called ‘worm sorters,’ are used to measure the length, fluorescence emission, and optical density of worms suspended in a fluid (Crombie et al., 2018). The main drawback of such systems is the large initial investment. Another more financially accessible option is image analysis. Image analysis software tools can be used to avoid the

Joanna K. Palka, Krzysztof Fiok, Weronika Antoł, Zofia M. Prokop

Journal of Nematology , 1–15

Research Article

SOCIALLY ACCEPTABLE SMART WHEELCHAIR NAVIGATION FROM HEAD ORIENTATION OBSERVATION

Robotic wheelchairs should move among humans without bringing about uncomfortable situation to them. This paper tackles this issue to propose a method of navigation in indoor environments with presence of humans based on the observation of head information obtained from color and range images. Initially head regions in the color image are tracked and their orientations are estimated using AdaBoost based particle filter trained to classify multiple-pose faces. Then the head orientation data are

Razali Tomari, Yoshnori Kobayashi, Yoshinori Kuno

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 630–643

Article

The New Method of Sea-sky Line Detection Based on Mathematical Morphology

I. INTRODUCTION The sea-sky line is the dividing line between the sea and the sky. In general, an image of sea-sky background mainly includes three regions, those are brighter sky area, the darker sea area, and the sea-sky line area from light to dark [1]. If the low altitude investigation is carried out, the target on the sea usually appears in the area of sea-sky line. By detecting and obtaining the sea-sky line, it can reduce the calculation amount of target detection and shorten the

Zhang Wenqi, Bai Wanmin, Yu Jun, Gao Shouyi

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 85–92

Article

AUTOMATED TELEHEALTH SYSTEM FOR FETAL GROWTH DETECTION AND APPROXIMATION OF ULTRASOUND IMAGES

automatic system for fetal growth monitoring and detection is proposed. This system will be able to automatically measuring the parameters of fetal head, abdomen, femur, and humerus. In addition to automated image detection, we also propose an integrated telehealth monitoring system to provide better access of ultrasound monitoring for patients that lives in rural areas. A new approach of fetal image detection is also proposed by using AdaBoost.MH boosting algorithm that is combined with an improved

Wisnu Jatmiko, Ikhsanul Habibie, M. Anwar Ma’sum, Robeth Rahmatullah, I Putu Satwika

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 697–719

Article

INTELLIGENT DETECTION OF FACIAL EXPRESSION BASED ON IMAGE

Shaoping Zhu, Yongliang Xiao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 581–601

Article

VISUAL ATTENTION MODEL WITH ADAPTIVE WEIGHTING OF CONSPICUITY MAPS FOR BUILDING DETECTION IN SATELLITE IMAGES

The lack of automation and the limited performance of current image processing techniques pose critical challenges to the efficient and timely use of the large amount of data made available by aerial and space based assets. The imitation of fast adaptation and inference capability of human visual system appears to be a promising research direction for the development of computational algorithms able to deal with large variations in image content, characteristics and scale as those encountered

A.-M. Cretu, P. Payeur

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 742–766

Article

FACE ALIGNMENT BASED ON SEMI-ACTIVE APPEARANCE MODE

In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the

Shiliang Yan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1493–1515

Review

Ultrasound image of the thyroid gland in obese children

Józef Szczyrski, Wojciech Kosiak, Maria Korpal-Szczyrska, Małgorzata Myśliwiec

Journal of Ultrasonography , ISSUE 63, 423–428

Research Article

AUTHENTICATION SCHEME FOR SESSION PASSWORDS USING COLOR AND IMAGE

P. Saranya, S. Sharavanan, R. Vijai, RM. Balajee

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 590–603

Research Article

RESEARCH ON CHIPS’ DEFECT EXTRACTION BASED ON IMAGE-MATCHING

Daode Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 321–336

Review

IMAGE BEYOND THE FORM. REPRESENTING PERCEPTION OF URBAN ENVIRONMENT

1. INTRODUCTION “Every picture tells a story and every story has a picture” [1]. Referring to images of architectural books, the title of an essay by Herman Van Bergeijk [1] underlines the close connection between the two terms idea and image. Each image can be understood as the sensitive translation of our mental images: to interpret the content and the meaning of an image, linguistic mediation is necessary, it can be graphic or verbal: graphic image and verbal image found the two categories

Vincenzo BAGNOLO, Andrea MANCA

Architecture, Civil Engineering, Environment , ISSUE 2, 7–16

Research Article

Implementation of 144 × 64 Pixel Array Bezel-Less Cmos Fingerprint Sensor

This paper proposes CMOS integrated 144 × 64 pixel array fingerprint sensor without a bezel electrode. In this paper, the architecture of CMOS capacitive fingerprint sensor readout circuit is presented for general type of a switched capacitive integrator scheme. The pipelined scan driver is included in the fingerprint sensor for fast image capture. It is implemented on 0.35 μm standard CMOS process technology. The operation is validated by SPECTRE for one-pixel and RTL simulation including

Seungmin Jung

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–5

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