Segmentation of ultrasonic images using fuzzy sets

Abstract

An image segmentation technique based on fuzzy sets for ultrasonic B-scans is presented. The fuzzy c-means algorithm is adapted to B-scan images. The classes constituting a region are obtained through fuzzy partitioning based on local statistics information. The performance of the method is tested on phantom and tissue images and the results are presented.