Detection of Dead tissues in Medical Images Using Image Segmentation

In the present scenario of the world, the medical imaging plays a major role in the medical imaging science. If we get the information about the dead tissues which are not visible by naked eyes or by machines, well in the time then we can easily prevent the further spreading of disease on the other parts of the body. One of the major problems coming in the medical field is that doctors are not able to detect that infected part which is not visible bye naked eyes and therefore they only operate the visible infected part of the skin and this may cause a major problem like cancer or any dangerous disease in the future. This paper is mainly concerned to overcome this problem by using the techniques of MATLAB using image processing toolbox are used for detection of dead tissues which are visible as well as which are not visible. Up till now the training of such images were done which have sharp variation in the RGB values. Through this project we have trained the images that do not have very sharp variations in the RGB values. For training various techniques such as Edge Detection, Histogram Thresholding and K-means.