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Target Seg : A GUI for Image Segmentation using Morphogical Watershed and Graph cut Techniques
Anuradha.S.G,K.Karibasappa,B.Eswar Reddy 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.3
The aim of this paper is to develop an efficient and a powerful Matlab based graphical user interface to address the problem of image segmentation. We propose two approaches for segmenting images: An automatic marker controlled watershed segmentation for segmenting an entire image or a scene and a semiautomatic graph cut based segmentation using fixation points. Automatic Watershed segmentation with a Sobel edge detector is used to detect the gradient of an input image resulting in an image less sensitive to noise. To deal with the usual problem of over segmentation using watershed, marker controlled watershed transformation is applied further for segmenting an image. Fixation based graph cut segmentation allows the user to analyze the input image displayed on the screen and specify some hard constraints indicating the object of interest or target object by using the mouse interaction. Experiments are done on the publically available dataset and the results of the supervised evaluation methods are observed to be satisfactory and are demonstrated along with the manually segmented reference image or a ground truth image obtained from segmentation evaluation database
Morphological Change Detection System for Real Time Traffic Analysis
Anuradha S. G.,K. Karibasappa,B. Eswar Reddy 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.8
Nowadays roads are getting overcrowded and the number of vehicles on the roads is increasing. The main reason is the increase in the population of metro cities, urbanization, and economical development of the country that subsequently led to the increased demand for vehicular travel. Incident detection and Traffic congestion are the serious issues in Traffic engineering applications and Intelligent Transport System. Hence the aim of the proposed system is to build an automatic traffic monitoring system which can replace or reduce manual traffic monitoring. The proposed mathematical Morphogical technique is able to detect and track the moving vehicle from the traffic video in real time and give a message to the traffic control station. The experimental results show that the proposed technique can be adopted under various traffic patterns, weather conditions and illuminations.