Automatic multilevel thresholding of digital images

The segmentation has been appliedin several areas, especially where it is necessary use tools for feature extraction and to get the needed object from the rest of the image for analyzing a particular object. There are several segmentation methods for segmenting medical images, but it is difficult to find a method that can be adapt and better for different type of medical images. For better segmentation multilevel thresholding is applied and to adapt for different type of images histogram based segmentation is performed. Multilevel thresholding is a process that segments a gray-level image into several distinct regions. The technique was applied to segment the cell core and potential rejection of tissue in myocardial images of biopsies from cardiac transplant.