Study of medical image segmentation algorithms

Abstract

in image analysis segmentation is the partitioning of a digital image into multiple regions newlinesets of pixels according to some homogeneity criterion the problem of segmentation is a wellstudied newlineone in literature and there are a wide variety of approaches that are used different newlineapproaches are suited to different types of images and the quality of output of a particular algorithm newlineis difficult to measure quantitatively due to the fact that there may be much correct segmentation newlinefor a single image here a fuzzy clustering method edge detection method region growing method newlineand thresholding method are considered in image segmentation comparisons with other criteria newlineshow that the results for these methods are quite better than other methods based on segmentation newlineaccuracy and peak signal noise ratio as parameters for images newline newline