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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

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

Research Article

LEARNING TO RANK AND CLASSIFICATION OF BUG REPORTS USING SVM AND FEATURE EVALUATION

S. Rajeswari, S. Sharavanan, R. Vijai, RM. Balajee

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 311–329

Article

IMAGE FUSION AND RECOGNITION BASED ON COMPRESSED SENSING THEORY

also studied, which obtained a sample matrix using preprocessing based on a wavelet transform, calculated the approximate coefficient by orthogonal matching pursuit, and made a classification using the with minimum distance formula. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.

Qiuchan Bai, Chunxia Jin

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

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

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

are excessive through classification algorithm of preprocessing module and lead-in of high efficiency and first-level of index mechanism. The test manifests that the system is safe, easy to defend and has fine extension quality; as a result, it can reach to a fine effect.

Xiaoqing Zhou, Jiangjing Gou, Zhiyong Zhou, Jiaxiu Sun

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

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

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

Ding Li, Chong Jiao

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

Article

Prediction of the Heat Load in Central Heating Systems Using GA-BP Algorithm

This paper presented the research on heat load prediction method of central heating system. The combined simulation data at Xi'an in January was used as the samples for training and predicting. This paper selected the daily average outdoor wind speed, the daily average outdoor temperature, date type, sunshine duration as input variables and the heating load value as output variable. After preprocessing of the historical data, the BP neural network algorithm and the GA-BP algorithm were

Bingqing Guo, Jin Xu, Ling Cheng, Lei Chen

International Journal of Advanced Network, Monitoring and Controls , ISSUE 4, 137–141

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

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