Automatic Segmentation of Digital Images Applied in Cardiac Medical Images?

The digital image processing is important in medical fields. It is used for future operation and study purpose. In that segmentation is the main factors. Image segmentation plays a crucial role in many medical imaging application by automating or facilitating the destination of anatomical structure and author regions of interest that may be used in a specific study. For that purpose there are several methods, but it is difficult to find a method that can easily adapt to different type of images. For that problem ,our paper aims to represents a adaptable segmentation method, and give the better segmentation. To define the threshold this method based on model of automatic multilevel threshholding and techniques of group histogram quantization, histogram analysis percentage of slope and calculation of entropy. This technique rejects the tissue of biopsies from cardiac transplant.