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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

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

in satellite imaging. The paper explores the potential use of an improved computational model of visual attention for the complex task of building identification in satellite images. It contributes to extend the envelope of application areas of such models and also to expand their current use from single object to multiple object detection. A set of original weighting schemes based on the contribution of different features to the identification of building and non-building areas is first proposed

A.-M. Cretu, P. Payeur

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

Article

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

One of the most profound use of ultrasound imaging is fetal growth monitoring. Conventionally, physicians will perform manual measurements of several parameters of the ultrasound images to draw some conclusion of the fetal condition by manually annotating the fetal images on the ultrasound device interface. However, performing manual annotation of fetal images will require significant amount of time considering the number of patients an obstetrician can have. In this paper, an integrated

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

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

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

Steganography is the act of hiding a message inside another message in such a way that can only be detected by its intended recipient. In any communication, security is the most important issue in the world today. It created a lot of data security and steganography algorithms in the past decade, and that worked motivation for our research. In this paper, Security Method for Combination Steganography Algorithms on Transform domain for JPEG images, we have designed a system that will allow the

Hamdan L. Jaheel, Zou Beiji

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

Research Article

A REVIEW ON MULTIPLE-FEATURE-BASED ADAPTIVE SPARSE REPRESENTATION (MFASR) AND OTHER CLASSIFICATION TYPES

A new technique Multiple-feature-based adaptive sparse representation (MFASR) has been demonstrated for Hyperspectral Images (HSI’s) classification. This method involves mainly in four steps at the various stages. The spectral and spatial information reflected from the original Hyperspectral Images with four various features. A shape adaptive (SA) spatial region is obtained in each pixel region at the second step. The algorithm namely sparse representation has applied to get the coefficients of

S. Srinivasan, Dr. K. Rajakumar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 567–593

Article

OVERLAPPING WHITE BLOOD CELL SEGMENTATION AND COUNTING ON MICROSCOPIC BLOOD CELL IMAGES

Overlapping white blood cell identification on microscopic blood cell images is proposed for increasing the accuracy of white blood cell segmentation and counting. The accurate identification of overlapping cells can increase the accuracy of cell counting system for diagnosing diseases. The overlapping cells have different characteristic such as area and shape with a single cell of microscopic cell images therefore the overlapping cell identification based on geometric feature is preferred. As

Chastine Fatichah, Diana Purwitasari, Victor Hariadi, Faried Effendy

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1271–1286

Research Article

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

allow the operator to perform his job accurately and efficiently.  NIST has developed a method to quantify the capability of imagers to provide images of sufficient quality to allow humans to perform specific perception-based tasks.  A one-time humanperception based step is required that results in perception coefficients that are combined with lab-measured objective image quality indicators (IQIs) to calculate image quality.  This work uses a d′ evaluation method to examine the

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

Travelling narratives and images in times of migration

Introduction Migrant narratives and aesthetic practices influenced by experiences of exile and migration constitute a growing field in contemporary art and literature. Current trends in migration and globalisation have lead to an increase in travelling narratives, images and objects, and the production of aesthetic practices describing and problematising exile and migration, working in and through tradition. Migratory patterns and issues related to the protection of refugees and asylum seekers

Sigrun Åsebø, Anje Müller Gjesdal, Camilla Skalle

Borderlands , ISSUE 1, 1–11

Article

MEASURING LUNG ABNORMALITIES IN IMAGES-BASED CT

Diagnosis by imaging is one of the most important findings in biomedical imaging because it allows not only the diagnosing of a specific pathology but to perform online and offline surgical operations using imaging as it is noticed in interventional radiology. This paper illustrates the use Hough transform in identifying pathological structures included in CT (Computer Tomography) and HRCT (High Resolution Computer Tomography) images related to patients suffering from lung disease. These

A. Lay-Ekuakille, P. Vergallo, I. Jabłoński, S. Casciaro, F. Conversano

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1156–1176

Article

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

for square and subway station video monitoring images. Results show that our algorithm can outperform other traditional method both in accuracy and processing times.

Qingyu Zou, Jianwen Guan, Jing Bai, Weiliang Sun

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

original-paper

New Look on Antifungal Activity of Silver Nanoparticles (AgNPs)

method similar to the CONTIN algorithm, but more aggressive concerning the noise (Song et al. 2011; Echegoyen and Nerin 2013; Wen et al. 2016). The imaging with TEM was carried out with a Zeiss EM900 microscope (Carl Zeiss AG). Samples were dipped on a 300-nickel mesh, coated with Formvar (SPI Supplies), and then dried thoroughly. Microphotographs were recorded on photographic film and then scanned using a flatbed scanner with 800 × 800 DPI resolution (Hewlett-Packard). The images were processed

BARBARA ŻAROWSKA, TOMASZ KOŹLECKI, MICHAŁ PIEGZA, KATARZYNA JAROS-KOŹLECKA, MAŁGORZATA ROBAK

Polish Journal of Microbiology , ISSUE 4, 515–525

Research Article

Automated Traffic Analysis in Aerial Images

Tom Hößler, Tom Landgraf

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

Article

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

Xiaoqing Zhou, Jiangjing Gou, Zhiyong Zhou, Jiaxiu Sun

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

Research Article

UNSUPERVISED LEARNING FOR RIPENESS ESTIMATION FROM GRAPE SEEDS IMAGES

S. Hernández, L. Morales, A. Urrutia

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 594–612

research-article

The usefulness of high-frequency ultrasonography in the evaluation of vulvar dermatoses in postmenopausal women – a preliminary report

utility of high-frequency 40–50 MHz transducers in detailed imaging of epidermal echo, dermis, and the upper part of subcutaneous tissue, skin appendages (hair, follicles) as well as vessels running in the dermis and upper subcutaneous tissue, and pathologically altered skin(7,8) In this study, we analyzed clinical, ultrasonographic and histological images to correlate HFUS with histological images. Materials and methods The study was approved by the board of Clinical Unit of Obstetrics, Women’s

Michał Migda, Marian Stanisław Migda, Bartosz Migda, Marek Maleńczyk

Journal of Ultrasonography , ISSUE 79, 282–286

Article

REVERSIBLE WATERMARKING AUTHENTICATION ALGORITHM FOR COLOR IMAGES BASED ON COMPRESSED SENSING

Dong Ruihong, Zuo Hangzhou, Zhang Qiuyu, Wu Dongfang

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

Research Article

Magneto-optical study of microwire in presence of magnetic field of super high frequency

The work is dedicated to the magneto-optical Kerr effect (MOKE) study of the magnetization reversal in the microwire in the presence of super high frequency (SHF) circular magnetic field. This study is important for elucidation of functioning of sensor based on giant magneto-impedance (GMI) effect. Magnetic domains images have been obtained using MOKE polarizing microscopy. Hysteresis loops were obtained as a result of images processing. It was found that SHF magnetic field induces strong

Alexander Chizhik, Julian Gonzalez, Arcady Zhukov, Andrzej Stupakiewicz, Andrzej Maziewski

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

Research Article

DYNAMIC FACE RECOGNITION AND TRACKING SYSTEM USING MACHINE LEARNING IN MATLAB AND BIGDATA

Face Recognition being one of the methods in identifying individuals is getting enhanced at a faster rate. This paper demonstrates the process of detection of faces of the individuals through a live monitoring camera using matlab and also aids in tracking them. The large amount of images being collected at each second is stored in big databases like Hadoop- databases(hbase) or Mongodb as they are known for their higher processing speed. The facial features are extracted from all the images and

P.J Leo Evenss, Jennings Mcenroe .S, A.Prabhu Chakkaravarthy

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 163–173

Research Article

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

R. Manikandan, M. Balasubramanian, S. Palanivel

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

research-article

The usefulness of high-frequency ultrasonography in the preoperative evaluation of vulvar cancer – a case series

borders(12). The aim of the study was to compare 48 MHz ultrasound images of vulvar cancer with histological images. Materials and methods This study was approved by the board of Clinical Unit of Obstetrics, Women’s Disease and Gynecological Oncology, United District Hospital, Collegium Medicum University of Nicolaus Copernicus in Toruń, Poland. This is a tertiary reference center. We analyzed cases of postmenopausal women sent to our clinic for surgery due to diagnosed vulvar cancer. In this study

Michał Migda, Marian Stanisław Migda, Bartosz Migda, Marek Maleńczyk

Journal of Ultrasonography , ISSUE 79, 305–310

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 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

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

Article

Lidar Image Classification based on Convolutional Neural Networks

This paper presents a new method of recognition of lidar cloud point images based on convolutional neural network. This experiment uses 3D CAD ModelNet, and generates 3D point cloud data by simulating the scanning process of lidar. The data is divided into cells, and the distance is represented by gray values. Finally, the data is stored as grayscale images. Changing the number of cells dividing point cloud results in different experimental results. Experiments show that the proposed method has

Yang Wenhui, Yu Fan

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

Research paper

RECOGNITION OF PSORIASIS FEATURES VIA DAUBECHIES D8 WAVELET TECHNIQUE

This paper presents a study in an efficient methodology for analysis and characterization of digital images psoriasis lesions using Daubechies D8 wavelet technique. The methodology is based on the transformation of 2D Discrete Wavelet Transform (DWT) algorithm for Daubechies D8 at first level to obtain the coefficients of the approximations and details sub-images. For classification method, statistical approach analysis is applied to identify significance difference between each groups of

H. Hashim, S. Ramli, N. Wahid, M. S. Sulaiman, N. Hassan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 711–732

Research Article

MOVING TARGET DETECTION BASED ON GLOBAL MOTION ESTIMATION IN DYNAMIC ENVIRONMENT

AUV localization is not accurate based on sequence images if moving target is as landmark,so the moving target detection algorithm is studied based on global motion estimation, which detects and eliminates moving target according to the motion inconsistency of the moving target. Generally grid block matching is used in the global motion estimation, it can’t effectively dispose the dynamic background, and the gradient direction invariant moments descriptors method of free circular neighborhood

GAO Jun-chai, LIU Ming-yong, XU Fei

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 360–379

Article

SPARSE REPRESENTATION THEORY AND ITS APPLICATION FOR FACE RECOGNITION

Face recognition aims at endowing computers with the ability to identify different human beings according to their face images. However, recognition rate will decrease sharply when it refers to the non-ideal imaging environments or the incorporation of users, such as illumination, pose, expression variations and so on. Besides, it will be also influence the recognition results when the database is too large or small. Sparse representation based classification for face images has been one of

Yongjiao Wang, Chuan Wang, Lei Liang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 107–124

Research Article

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

produce lower-resolution levels of reference and input images; then, the Speeded Up Robust Features (SURF) algorithm is utilized for quickly searching for matching points. After the coarse registration is completed, the Harris operator is used to extract feature points, and initial correspondences are established using the normalized cross-correlation to achieve the fine registration. Second, in order to remove mismatched points, the RANdom SAmple Consensus (RANSAC) algorithm is applied to putative

Sang Rok Lee

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

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

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

the proposed system are image preprocessing, image segmentation, and vehicle detection and counting the number of vehicles. Images are captured from the traffic monitoring cameras installed in highways. Results from testing phase using thirty images with varying brightness, contrast, and quality taken from different cameras during daylight showed that the accuracy of the system in counting the number of vehicles is 78.21%.

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

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

Article

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

spectral clustering algorithm is used to extract initial contour of the local region of an image. Then, the NBACM (narrow band active contour model) is combined with the priori information of initial contour to evolve contour curve to get the segmentation result. At last, the local segmentation experiment is realized on synthetic images and medical images. The experimental results show that the method proposed can extract contour accurately and can improve the effectiveness and robust for image local

Guang Hu, Shengzhi Yuan

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

Article

Image Transformation Based on Generative Adversarial Networks

does not rely on manual feature extraction. Deep learning uses Multilayer neural network to characterize data learning. A neural network is a group of algorithms that roughly imitate the structure design of human brain to recognize patterns. The patterns it can recognize are numerical, so all real-world data such as images, sounds, text and time sequences must be converted to numerical values. The neural network interprets the sensor data through the machine perception system and can mark or

Jie Chen, Li Zhao

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

Article

Improved Faster R-CNN Algorithm for Sea Object Detection Under Complex Sea Conditions

, monitoring illegal intrusion ships, and assisting in analyzing the deployment of the enemy’s key ports and military warships. Therefore, it is of great practical significance to improve the detection accuracy of sea surface objects. In recent years, with the sharp increase in the resolution of satellite remote sensing images in China, many trainable remote sensing image samples have been provided for deep learning. How to effectively use massive high-resolution remote sensing images is one of the main

Liu Yabin, Yu Jun, Hu Zhiyi

International Journal of Advanced Network, Monitoring and Controls , ISSUE 2, 76–82

Review

Wrist ultrasound examination – scanning technique and ultrasound anatomy. Part 2: Ventral wrist

Ultrasound imaging of the musculoskeletal system is an important element of the diagnostic and therapeutic protocol. Clinical decisions, including those regarding surgical procedures, are often based solely on ultrasound imaging. However, detailed knowledge on the anatomy and a correct scanning technique are crucial for an accurate diagnosis. Modern ultrasonographic equipment allows obtaining detailed anatomical images of muscle tendons, ligaments, nerves and vessels of the carpal area. Ventral

Cyprian Olchowy, Daniel Soliński, Mateusz Łasecki, Paweł Dąbrowski, Szymon Urban, Urszula Zaleska-Dorobisz

Journal of Ultrasonography , ISSUE 69, 123–128

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-article

Touch fingerprint sensor based on sensor cell isolation technique with pseudo direct signaling

epoxy after fabrication. The fingerprint sensor was tested with ARM board with PC applications. Several fingerprint image enhancement techniques, such as a Weiner filtering, 2D Gaussian filtering, and 2D FIR filtering, were used to reduce the noise of the obtained images. The matching performances of the filtered images were evaluated with Precise Biometrics algorithm. The implemented fingerprint sensor worked well under the 80 μm-thick molded film and can be used in mobile applications with the

Hyeopgoo Yeo

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

Research Article

ANTIBIOTIC BIOSYNTHESIS AND SECONDARY METABOLISM IN HIGH-YIELDING STRAINS OF STREPTOMYCES, PENICILLIUM CHRYSOGENUM AND ACREMONIUM CHRYSOGENUM

In this article, the secondary metabolism as a basis for antibiotics production by industrial strains of Streptomyces, Penicillium chrysogenum and Acremonium chrysogenum is discussed. Images from transmission electron microscopy reveal some important features of the mycelial cells which are related to antibiotics biosynthesis. This discovery is important for further industrial strain improvement and has economic significance. Possibilities of new strategies for antimicrobial treatment are

Wiesław Kurzątkowski, Joanna Kuczerowska

Postępy Mikrobiologii - Advancements of Microbiology , ISSUE 4, 422–428

Research Article

GRID-EDGE-DEPTH MAP BUILDING EMPLOYING SAD WITH SOBEL EDGE DETECTOR

This paper presents a new method of a map building which is suitable for a wheeled robot. The 2D map represents the obstacle’s position and distance in the environment. The information of the obstacles obtained from a calibrated stereo camera. The stereo images size were 320x240 pixels. Hereafter the images were rectified and the disparity map was built using a Sum of Absolute Difference (SAD) algorithm. The depth map was calculated using disparity map, focal length, and baseline parameter

Budi Rahmani, Agus Harjoko, Tri Kuntoro Priyambodo

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 551–566

Article

ROBOTIC ADAPTIVE IMPEDANCE CONTROL BASED ON VISUAL GUIDANCE

Uncalibrated visual servoing based on SVR-Jacobian estimator is proposed in unknown environment. Multiple support vector regression (SVR) machines are used to estimate the Jacobian matrix of images,and the nonlinear mapping between the image features of the curved line and the robot joint angle is constructed, uncalibrated robot impedance control can be carried out.Image Jacobian matrix expression with Gaussian kernel is put forward, the effectiveness of the presented approach is verified by

Li Erchao, Li Zhanming, He Junxue

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2159–2174

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

PREDICTION AND ANALYSIS OF URBAN HEAT ISLAND EFFECT IN DANGSHAN BY REMOTE SENSING

Vegetation index (NDVI) was extracted from bi-temporal multispectral images based on the data obtained from Landsat ETM+ on 14th, September, 2000 , Landsat ETM+ on 9th, September, 2004 , Landsat ETM+ on 15th, May, 2008 and Landsat-8 on 21st, May 2013 for Dangshan County in Anhui Province. Analysis and data extraction was carried out using the ENVI 5.0 software. Normalized values of thermal radiation brightness temperature and surface brightness temperature were inverted from the bi-temporal

Gang Fang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 2195–2211

Article

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

Hough transformation. Then, the global structure parameters are acquired through cluster analysis. Secondly, the grayscale image is divided into several detection regions (each of which includes one intersection point to be detected) in accordance to the obtained global structure parameters and the intersection points in the detection regions are accurately located using the ridge line fitting method. Finally, the intersection points in the left and right images are matched based on their

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

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

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

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

Review

Wrist ultrasound examination – scanning technique and ultrasound anatomy. Part 1: Dorsal wrist

. However, the knowledge of anatomy is crucial to establish a correct ultrasound diagnosis, also in wrist assessment. An ultrasound examination of the wrist is one of the most common US examinations conducted in patients with rheumatological diseases. Ultrasonographic signs depend on the advancement of the disease. The examination is equally frequently conducted in patients with pain or swelling of the wrist due to non-rheumatological causes. The aim of this publication was to present ultrasound images

Cyprian Olchowy, Mateusz Łasecki, Urszula Zaleska-Dorobisz

Journal of Ultrasonography , ISSUE 61, 172–188

Review Article

Mistakes in ultrasound diagnosis of superficial lymph nodes

The article discusses basic mistakes that can occur during ultrasound imaging of superficial lymph nodes. Ultrasound is the first imaging method used in the diseases of superficial organs and tissues, including lymph nodes. The causes of mistakes can be either dependent or independent of the performing physician. The first group of mistakes includes inappropriate interpretation of images of anatomical structures, while the latter group includes, among other things, similar ultrasound images of

Ewa J. Białek, Wiesław Jakubowski

Journal of Ultrasonography , ISSUE 68, 59–65

Research Article

OBSERVATIONS AND RESTRICTIONS FOR TRACKING INDICES MEASUREMENT IN MATERIALS TESTING

insulator surface and the peculiar decrease of current peak amplitudes with increasing number of electrolyte droplets are investigated and possible causes are discussed, based on Finite Element Analysis and camera images of conducted experiments.

A. Fuchs, H. Zangl

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 623–6387

Research Article

DUAL MODALITY TOMOGRAPHY SYSTEM USING OPTICAL AND ELECTRODYNAMIC SENSORS FOR TOMOGRAPHIC IMAGING SOLID FLOW

Process tomography is a technique to realize flow imaging in a process vessel or pipeline by using the sensor system. This technique involves the use of tomographic imaging methods to manipulate data from sensors in order to collect sufficient information about the flow in the pipeline. The overall aim of this paper is to investigate the benefits of dual modality (optical and electrodynamic) tomography system for the measurement of tomographic images of solids flow. This research will

M. F. Rahmat, S. Ibrahim, M. M. Elmajri, N. F. Mohammed, M.D Isa

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 389–399

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

Research Article

 VIDEO-BASED VEHICLE DETECTION AND CLASSIFICATION IN CHALLENGING SCENARIOS   

Abstract- In intelligent transportation system, research on vehicle detection and classification has high theory significance and application value. According to the traditional methods of vehicle detection which can’t be well applied in challenging scenario, this paper proposes a novel Bayesian fusion algorithm based on Gaussian mixture model. We extract the features of vehicle from images, including shape features, texture features, and the gradient direction histogram features after

Yiling Chen, GuoFeng Qin

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 1077–1094

research-article

GEOSPATIAL DATA PROCESSING CHARACTERISTICS FOR ENVIRONMENTAL MONITORING TASKS

to be effective and timely, complex processing of such a volume of information should be performed for at least 30 minutes after receiving it. In this case, the decisions made about the current state of the monitored objects and forecasts of the dynamics of its possible changes will be relevant. An analysis of known methods showed that computer analysis of satellite images, as a rule, is based on the use of formalized natural features of the image or artificial features, that were designed on the

Olga BUTENKO, Stanislav HORELIK, Oleh ZYNYUK

Architecture, Civil Engineering, Environment , ISSUE 1, 103–114

Research Article

CIRCULAR TRAFFIC SIGN CLASSIFICATION USING HOGBASED RING PARTITIONED MATCHING

97.8%, without the need of many prepared sample images. The results also show that the best values of the number of orientation bins and the cell size of the HOG parameters are 5 and 10 x 10 pixels respectively.

Aryuanto Soetedjo, I Komang Somawirata

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

Article

COMPRESSIVE SENSING BY COLPITTS CHAOTIC OSCILLATOR FOR IMAGE SENSORS

chaotic sequence sampled from Colpitts oscillator can also be used to generate Toeplitz-structured chaotic sensing matrix. Simulation results show that the proposed Colpitts chaotic sensing matrix has similar performance to random matrix or other chaotic matrix for exact reconstructing compressible signals and images from fewer measurements.

Li Liu, Peng Yang, Jianguo Zhang, Guifen Wei

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

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

Article

DESIGN OF COMPLICATED DUPLICATE IMAGE REPRESENTATION APPROACH BASED ON DESCRIPTOR LEARNING

can get the learning hashes. The learning hashes are used to quantify local descriptors of images into binary codes and the frequency histograms of binary codes are as image representations. Experimental results demonstrate that compared with the state-of-the-art algorithms, this approach can effectively improve the discrimination of image presentations by introducing semantic information.

Yongjiao Wang, Xiaojie Du, Lei Liang

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

Article

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

is small and fluctuates greatly during flight, the collection of the data and images are not accurate enough. This paper has obtained the accurate measurement of image by studying the image fast matching theory, which has practical significance in the actual mapping and has higher research value.

Ding Li, Chong Jiao

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

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

Article

APTIVE IMAGE SEGMENTATION BASED ON SALIENCY DETECTION

corresponding image entropy is calculated. Predict the expected entropy according to maximum entropy criteria and select the optimal segmentation according to the entropies of pre-segmented images and the expected entropy. A large number of experiments have proved the effectiveness and advantages of this algorithm..

Shui Linlin

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

Article

NOVEL MULTI-CLASS SVM ALGORITHM FOR MULTIPLE OBJECT RECOGNITION

Object recognition is a fundamental task in applications of computer vision, which aims at detecting and locating the interested objects out of the backgrounds in images or videos, and can be originally formulated as a binary classification problem that can be effectively handled by binary SVM. Although the binary technique can be naturally extended to solve the multiple object recognition, which are known as one-vs.-one and one-vs.-all techniques, but the scalability of traditional methods

Yongqing Wang, Yanzhou Zhang

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 1203–1224

Article

Creating a Conference Poster with High-Resolution Network Figures

Creating a poster with high-resolution network images can be a challenging task. In this article, the process of exporting a network figure from a network analysis tool, importing it in a vector graphics tool, and preparing the poster for print is discussed. The steps include critical strategies for producing print-quality figures that also apply to the preparation of network figures for journal publication. We discuss different file formats and argue that the favorite tool for creating

Jürgen Pfeffer

Connections , ISSUE 1-2, 95–100

Case report

Is a linear probe helpful in diagnosing diseases of pulmonary interstitial spaces?

the course of lung ultrasound examination. The patients were examined with a 3.5–5.0 MHz convex probe and a 7.0–11.0 MHz linear probe. Ultrasound images have been analysed, and differences in the imaging with both probes in patients with interstitial lung lesions have been detailed. The use of a linear probe in patients with interstitial lung lesions (discovered with a convex or a micro-convex probe) provides additional information on the source of the origin of the lesions.

Natalia Buda, Wojciech Kosiak

Journal of Ultrasonography , ISSUE 69, 136–141

Article

Discopersicus n. gen., a New Member of the Family Tylenchidae Örley, 1880 with Detailed SEM Study on Two Known Species of the Genus Discotylenchus Siddiqi, 1980 (Nematoda; Tylenchidae) from Iran

Discopersicus iranicus n. gen., n. comb., previously described from Iran as a new species under the genus Discotylenchus, is illustrated using light microscope and scanning electron microscope (SEM) observations and further studied using molecular characters. SEM studies revealed the newly proposed genus has oblique amphidial apertures on the lateral sides of the lip region. SEM images are also provided for two species of Discotylenchus, namely D. discretus and D. brevicaudatus, as the first

ALI YAGHOUBI, EBRAHIM POURJAM, SERGIO A LVAREZ-ORTEGA, GRACIA LIE´BANAS, MOHAMMAD REZA ATIGHI, MAJID PEDRAM

Journal of Nematology , ISSUE 3, 214–221

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

FACE DETECTION IN PROFILE VIEWS USING FAST DISCRETE CURVELET TRANSFORM (FDCT) AND SUPPORT VECTOR MACHINE (SVM)

color images with good detection rate and low misdetection rate.

Bashir Muhammad, Syed Abd Rahman Abu-Bakar

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 108–123

Article

Face Recognition of the Rhinopithecus Roxellana QinlingensisBased on Improved HOG and Sparse Representation

monkeys can also be ignored. By using these characteristics as a alternation of original images to be a part of Sparse dictionary, and make a facial recognition on golden monkey with Sparse Representation, which can be a ideal method to erase many unnecessary messages and improve the accuracy on facial recognition of golden monkeys. Compared with mainstream method in recognition, this method is more reliable and effective and has a higher efficiency in recognition.

Cuan Ying, Shi Yaojie

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 194–198

Research Article

See the world through my eyes: Looking into how we can improve provision for gifted visual-spatial learners in our classrooms.

This article describes a collective case study of three learners who have exceptional visual-spatial abilities relative to their age peers. These abilities create potential to achieve success in areas where the capability to visualise three dimensional images contributes to a creative problem-solving mindset. Literature reviewed to background the investigation topic suggested that characteristic differences in the way these learners process information can create barriers to successful

Sharon Mansfield

Apex , ISSUE 1, 77–90

research-article

Morphological and Molecular Characterization of Oscheius saproxylicus sp. n. (Rhabditida, Rhabditidae) From Decaying Wood in Spain, With New Insights into the Phylogeny of the Genus and a Revision of its Taxonomy

) microscopes. Measurements were taken with the Leitz microscope, which has a drawing tube (camera lucida) attached to it, and Demanian indices and other ratios calculated. Drawings were made using the Leitz microscope. Images were taken with the Nikon microscope that was provided with differential interference contrast (DIC) optics and Nikon Digital Sight DS-U1 camera. Micrographs were edited using Adobe® Photoshop® CS. The terminology used for the morphology of stoma and spicules follows the proposals by

Joaquín Abolafia, Reyes Peña-Santiago

journal of nematology , 1–21

Research Article

Two nematodes (Nematoda: Diplogastridae, Rhabditidae) from the invasive millipede Chamberlinius hualienensis Wang, 1956 (Diplopoda, Paradoxosomatidae) on Hachijojima Island in Japan

juvenile Oscheius rugaoensis (Zhang et al., 2012) Darsouei et al., 2014 (Rhabditidae), and juvenile and adult Mononchoides sp. (Diplogastridae) based on images, morphometrics, and sequences of 18S and 28S rDNA. A novel short 28S sequence of a separate population of Oscheius necromenus SB218 from Australian millipedes was also included in a phylogenetic comparison of what can now be characterized as a species complex of millipede-associated Oscheius. The only other nematode associates of millipedes

L. K. Carta, W. K. Thomas, V. B. Meyer-Rochow

Journal of Nematology , ISSUE 4, 479–486

Research Article

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

possible to reduce the computational complexity of the algorithm without compromising the processing accuracy. Both the accuracy and the limitations resulting from the introduced simplifications have been verified based on several examples of both synthetic and real movie samples. The presented algorithm has been implemented using VirtexII-1000 FPGA to realize a digital stabilization system for the CMOS camera images. Experimental results fully confirm the efficiency of the presented algorithm when

Robert Piotrowski, Stanislaw Szczepanski, Slawomir Koziel

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

Research Article

BIOLOGICALLY-INSPIRED VISUAL ATTENTION FEATURES FOR A VEHICLE CLASSIFICATION TASK

The continuous rise in the number of vehicles in circulation brings an increasing need for automatically and efficiently recognizing vehicle categories for multiple applications such as optimizing available parking spaces, balancing ferry loads, planning infrastructure and managing traffic, or servicing vehicles. This paper explores the use of human visual attention mechanisms to identify a set of features that allows for fast automated classification of vehicles based on images taken from 6

A.-M. Cretu, P. Payeur

International Journal on Smart Sensing and Intelligent Systems , ISSUE 3, 402–423

Article

ANALYSIS OF LAND USE CHANGE CHARACTERISTICS BASED ON REMOTE SENSING AND GIS IN THE JIUXIANG RIVER WATERSHED

Based on remote sensing and GIS technology, the remote sensing images from 2003 to 2009 were used to the basic data sources, to analyze the characteristics of land-use change in Jiuxiang River watershed. Results showed that watershed land use structure were changed greatly from 2003 to 2009; the proportion of arable land decreased from 34.86% to 19.52%, whereas other types of land use increased. The area of construction land increased most rapidly, from 17.80% to 25.80%.Spatial differentiations

He-Bing Hu, Hong-Yu Liu, Jing-Feng Hao, Jing An

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 811–823

Article

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

. It’s easy for the confused screeners to miss or incorrectly detect dangerous articles. This has been a hidden danger for civil aviation safety. For image recognition improvement, the researcher analyzed the visual semantics of dangerous goods images and applied a local semantic features extraction method. After classification and summarization, the method was used to train the screeners for particular image recognition. The comparison showed the improved accuracy and efficiency of image recognition

Ning Zhang, Jinfu Zhu

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

Article

A MACHINE VISION SYSTEM FOR ESTIMATION OF THEAFLAVINS AND THEARUBIGINS IN ORTHODOX BLACK TEA

certain uncertainty or ambiguity that may arise during quality assessment of tea by the tea tasters. In this paper, a new method for rapid measurement of concentration of TF and TR is described using a machine vision system taking images of tea liquor and employing artificial neural networks (ANN). The results show good correlation of estimated values of TF and TR with the actual concentrations obtained using ultraviolet-visible spectrophotometer (UV-VIS).

Amitava Akuli, Abhra Pal, Gopinath Bej, Tamal Dey, Arunangshu Ghosh, Bipan Tudu, Nabarun Bhattacharyya, Rajib Bandyopadhyay

International Journal on Smart Sensing and Intelligent Systems , ISSUE 2, 709–731

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

Article

Street View House Number Identification Based on Deep Learning

I. INTRODUCTION The traditional method of classifying house numbers from natural scene images is usually to use manual feature extraction[1-2] and template matching[3-4]. In order to identify the house number of the corridor environment, Zhang Shuai et al. used the combination of Robert edge detection and morphological operation to locate the position of the house number image, and then divide the house number by horizontal and vertical projection method, tilt correction, etc., and finally use

Haoqi Yang, Hongge Yao

International Journal of Advanced Network, Monitoring and Controls , ISSUE 3, 47–52

Research Article

NTC Thermistors of Y-Al-Mn-Fe-Ni-Cr-O Ceramics for Wide Temperature Range Measurement

of too small content of Cr2O3, as a dopant, to make peak difference or new phases within the XRD resolution. SEM images and resistance behaviors show the different properties. With the addition of Cr2O3 as a dopant, the crystallinity and the grain size were decreased and increased, respectively. The resistance behaviors were similar but the values are low with Cr2O3. The specimens show the straight line relationship between the electrical resistivity and the temperature over a wide temperature

Woonyoung Lee, Jinseong Park

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

Research Article

PERFORMANCE AND ANALYSIS OF AUTOMATIC LICENSE PLATE LOCALIZATION AND RECOGNITION FROM VIDEO SEQUENCES

The works presents license plate recognition system using connected component analysis and template matching model for accurate identification. Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image. The system model uses already captured images for this recognition process. First the recognition system starts with character identification based on number plate extraction, Splitting characters and template matching. ALPR as a real life

M.Anto Bennet, B. Thamilvalluvan, Priyanka Paree Alphonse, D.R. Thendralarasi, K. Sujithra

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 330–343

Research Article

MULTI-TARGET, MULTI-SENSOR TRACKING BASED ON QUALITY-OF-INFORMATION AND FORMAL BAYESIAN FRAMEWORKS

. Toward this end, we exploit random set theory, a statistical tool based on Bayesian framework, for establishing generalized likelihood and Markov density functions to yield an iterative filtering procedure. We conduct a study regarding how the design of distributed detection has impact on the result of system level information fusion. The sources of analyzed data include (a) simulation-based sensor readings through bi-directional sensing/communication; and (b) practical images taken by multiple

Juo-Yu Lee, Kung Yao

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 842–857

Article

EFFECT OF ANNEALING ON GAS SENSING PERFORMANCE OF NANOSTRUCTURED ZnO THICK FILM RESISTORS

images show nano-particles as clusters with size in the range of 10-20 nm. Electron diffraction pattern of nano-powders annealed at 900oC temperature shows a well distribution of spherical particles due to the effect of citric acid as surfactant in chemical process. Thick films prepared by screen printing technique from zinc oxide nano-powders annealed at different temperatures (500–900 oC), characterized by SEM analysis and tested for various gases. The film prepared from ZnO powder annealed

Sarika D. Shinde, G. E. Patil, D. D. Kajale, V. G. Wagh, V. B. Gaikwad, G. H. Jain

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 277–294

Article

A PARFOCALITY MEASUREMENT METHOD OF A CONTINUOUS ZOOM STEREO MICROSCOPE

To satisfy the demands of the continuous zoom stereo microscope, a parfocality measurement method is proposed. First, the mechanical parameters of the focusing system are estimated by testing the highest and the lowest displacements of the lens group and the rotation angle of the knob simultaneously. Second, by analyzing images captured under different zoom rates, the relatively sharpest displacement under a specified zoom rate is obtained according to the values of the four definition

Yigang Wang, Gangyi Jiang, Mei Yu, Feng Shao, Wang Yuan

International Journal on Smart Sensing and Intelligent Systems , ISSUE 4, 1419–1434

Article

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

determine the common points between two adjacent images; then, the linear slope constraint model is used to filter the mismatching point-pairs; finally, the RANSAC algorithm is adopted to remove outer points from the common points to ensure matching precision of inter frames. To accommodate the real time requirement of UAV application, a parallel data processing pattern is presented. The multi-core resources and multi-thread computing method of computers are employed adequately in the new pattern to

Hongguang Li, Wenrui Ding, Yufeng wang

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

review-article

Sonographic assessment of the anatomy and common pathologies of clinically important bursae

Slavcho Ivanoski, Violeta Vasilevska Nikodinovska

Journal of Ultrasonography , ISSUE 78, 212–221

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

Article

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

characteristics. Registration algorithm is proposed in this paper has better robustness to image noise, and can achieve sub-pixel accuracy; the registration time has also been greatly improved. In terms of image fusion, the images to be fused through wavelet transform of different resolution sub image, using a new image fusion method based on energy and correlation coefficient. The high frequency image decomposed using new energy pixels of the window to window energy contribution rate of fusion rules, the low

Zhang Ning, Zhu Jinfu

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

Article

INTELLIGENT DETECTION OF FACIAL EXPRESSION BASED ON IMAGE

Human facial expressions detection plays a central role in pervasive health care and it is an active research field in computer vision. In this paper, a novel method for facial expression detection from dynamic facial images is proposed, which includes two stages of feature extraction and facial expression detection. Firstly, Active Shape Model (ASM) is used to extract the local texture feature, and optical flow technique is determined facial velocity information, which is used to characterize

Shaoping Zhu, Yongliang Xiao

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

Article

The Reform and Innovation of Ideological and Political Teaching Under the Multimedia

, graphics, images, video, sound etc., making teaching intuitive, novelty, diversity and vivid characteristics, can give full play to the students’ thinking ability, cognitive ability and the ability to analyze problems, greatly improve the quality of teaching. Applying multimedia technology to the ideological and political course in colleges and universities can help improve the expressiveness and appeal of teaching content, inspire students’ interest in learning, increase the credibility and timeliness

Xing Bo

International Journal of Advanced Network, Monitoring and Controls , ISSUE 1, 122–125

research-article

A review of privacy-preserving human and human activity recognition

is known as very useful in many application domains, for example, autonomous driving, post-disaster rescue, automated surveillance, military and robotics services (Gajjar et al., 2017). Human face recognition is another well-known application to search specific person in videos or in the list of images. Sensor data other than images or videos can be used to determine if there is no human being. However, videos or images are commonly used to track and recognize specific persons and human diseases

Im Y. Jung

International Journal on Smart Sensing and Intelligent Systems , ISSUE 1, 1–13

Article

SMALL TARGET DETECTION BASED ON INFRARED IMAGE ADAPTIVE

object extraction methods such as recursive least squares method, and the experimental results show that the algorithm capable of detecting small targets in infrared images, with good results. based pretreatment small target motion continuity characteristics studied image sequences small moving target detection algorithm based on weighted dynamic programming, dynamic programming algorithm principle is given, analysis of the direct method and the accumulation of gray dynamic programming algorithm

Hao Chen, Hong Zhang, Yifan Yang, Ding Yuan

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

Review

Ultrasound features of sole of foot pathology: a review

) at the site of complete rupture (Fig. 7). There may also be abnormal thickening of the PF surrounding the site of partial disruption; unlike the more fusiform swelling associated with simple plantar fasciitis, actual PF tears are more diffusely thickened and may show architectural irregularities indicating a loss of the normal fascial tension (Fig. 8). Fig. 7. Full-thickness plantar fascia tear on MRI. Sagittal T1-weighted images show discontinuity of the fibers of the central bundle of the

Claire Filippini, James Teh

Journal of Ultrasonography , ISSUE 77, 145–151

Review

GRAPHICAL ANALYSIS OF HISTORICAL MAPS. TRACES OF INDUSTRIAL ARCHEOLOGY IN THE SOUTH-EASTERN SECTOR OF THE CITY OF CAGLIARI. (SARDINIA, ITALY)

(19th century document kept in ASCA, the State Archive of Cagliari) The second map analyzed (Fig. 5) is called “Plan des salines royal de Cagliari” and was realized in the middle of nineteenth-century; the map is compatible – like the map of 1823 – with aerial images provided by the Cartographic Service of the Sardinia Region. Analyzing the images of 1940–45 we clearly observe the drawing of the nineteenth-century salt works of Lazzaretto (which overlooks the bay represented in the nineteenth

Andrea PIRINU

Architecture, Civil Engineering, Environment , ISSUE 2, 69–77

research-article

Inter-rater reliability of an ultrasound protocol to evaluate the anterolateral ligament of the knee

, and elastic properties(22,23). First, a dynamic ultrasound examination of the cadaveric knee was performed and images were stored on the ultrasound device (Fig. 2). Short and long axis images were acquired and measurements (length, width, thickness and distance between insertion and lateral tibia plateau) were performed by consensus. Following consensus by two experienced US examiners (MdM, MK: MDM 20 years of experience, MK 5 years of experience) surgical needles were placed at the origin and

Michel Kandel, Erik Cattrysse, Michel De Maeseneer, Leon Lenchik, Marc Paantjens, Marco Leeuw

Journal of Ultrasonography , ISSUE 78, 181–186

Research Article

Laser Profilometry Aiding Smart Vehicle Control

of direction. The processing of the acquired images is directly done on board by means of a low-cost single-board computer, namely the Raspberry Pi. This last is able to extract the information about the distance and the heading of the robot with respect to the rail boundary by analyzing the laser line lying in the camera plane; then, the extracted information expressed in the 3D reference system are sent via User Datagram Protocol to the control system of the vehicle. Results show how the

Cosimo Patruno, Roberto Marani, Massimiliano Nitti, Tiziana D’Orazio, Ettore Stella

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

Review

The diagnosis and management of shoulder pain

Diagnosis is crucial in decision-making when treating a patient with shoulder pain. Ultrasound is also very important in the diagnostic and therapeutic pathway, especially when surgery is being considered. This article outlines the diagnostic pathway using the patient’s history, physical examination and ultrasound examination. It is important to correlate the clinical assessment with the imaging signs. It is also important to treat the patient and not the images as there may be abnormalities

Gina M. Allen

Journal of Ultrasonography , ISSUE 74, 234–239

Research Article

Monitoring of the lung fluid movement and estimation of lung area using Electrical Impedance Tomography: A Simulation Study

also carried out. Finally, a real time of the EIT system using 16 Ag-AgCl electrodes were developed for real time imaging of the human thorax. The data were collected using the adjacent current injection technique and are plotted using FEM Multiphysics software. The reconstructed FEM images using the forward solver of EIT shows the approximate area of the thorax (lungs, heart etc.) under observation.

Deborshi Chakraborty, Madhurima Chattopadhyay

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

rapid-communication

Internet-based digital video atlas of sonographic findings for clinical and educational purposes

CT and MRI, there are increasing databases that facilitate finding out the diagnosis by comparing images and using algorithms and artificial intelligence (AI)(6,7). US imaging is less standardized and therefore a challenge for AI-based diagnostic tools. A single image does not reflect the visual impression of a moving US image from a real-time examination. Many young employees – for the sake of convenience – resort to using general search engines to search the Internet for examples of US images

Daniel Merkel, Christoph Schneider, Michael Ludwig

Journal of Ultrasonography , ISSUE 80, e24–e28

Review

Mistakes in ultrasound examination of salivary glands

Ultrasonography is the first imaging method applied in the case of diseases of the salivary glands. The article discusses basic mistakes that can be made during an ultrasound examination of these structures. The reasons for these mistakes may be examiner-dependent or may be beyond their control. The latter may include, inter alia, difficult conditions during examination (technical or patient-related), similarity of ultrasound images in different diseases, the lack of clinical and laboratory

Ewa J. Białek, Wiesław Jakubowski

Journal of Ultrasonography , ISSUE 65, 191–203

Research Article

A comparison of the ultrasound measurement of the inferior vena cava obtained with cardiac and convex transducers

inferior vena cava collapsibility index calculation made with two different probes.Methods20 experienced clinicians blinded to the purpose of the study analysed forty anonymized digital clips of images obtained during ultrasound examination of 20 patients. For each patient, one digital loop was recorded with a cardiac and the second with a convex probe. The participants were asked to determine the maximal and minimal diameters of the inferior vena cava in all presented films. An independent researcher

Paweł Andruszkiewicz, Dorota Sobczyk, Krzysztof Nycz, Izabela Górkiewicz-Kot, Mirosław Ziętkiewicz, Karol Wierzbicki, Jacek Wojtczak, Ilona Kowalik

Journal of Ultrasonography , ISSUE 71, 241–245

Original Paper

Intima–media complex thickness and carotid atherosclerotic plaque formation in Lublin’s population in the context of selected comorbidities

questionnaire. After that, the patients were submitted to Doppler sonography concentrated on intima–media complex thickness evaluation. The occurrence of atheromatous plaque was also assessed in obtained sonographic images. Results: There were statistically significant differences for the intima–media complex thickness and for the atheromatous plaque according to all of the reported diseases: hypocholesterolaemia, hypertension and diabetes. Conclusions: The present study confirms that there is a

Tomasz Słomka, Anna Drelich-Zbroja, Magdalena Jarząbek, Małgorzata Szczerbo-Trojanowska

Journal of Ultrasonography , ISSUE 73, 133–139

Article

PEDESTRIAN RULE COMPLIANCE AT SIGNALIZED INTERSECTIONS IN DIFFERENT URBAN CONTEXTS: AN OBSERVATIONAL STUDY

The purpose of this paper is to examine the rule compliance behavior of pedestrians at signalized intersections located in two different urban contexts in Italy, a tourist context and a typical working urban context, and to highlight if there is any influence, of the specific urban context, on the non-compliance behavior of pedestrians. Digital video camera images are gathered in two different urban contexts and data are processed using automated software, self-written in MatLab. Both test

Antonio PRATELLI, Marino LUPI, Alessandro FARINA, Carmela IANELLI

Transport Problems , ISSUE 2, 29–41

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