Segmentation of brain MR images using intuitionistic fuzzy clustering algorithm
Yogita K. Dubey, Milind M. Mushrif · 2012
A new algorithm for the segmentation of brain MR images, using intuitionistic fuzzy clustering (IFCM), is proposed in this paper. The algorithm uses intuitionistic fuzzy representation of image to deal with variations in pixel intensities of brain MR images. The proposed intuitionistic fuzzy clustering algorithms segments brain MR image into three regions, gray matter (GM), white Matter (WM) cerebrospinal fluid (CSF). To evaluate the performance of the proposed method, segmentations results are compared on the basis of segmentation accuracy and computational time with bias corrected fuzzy clustering method (BCFCM). The quantitative evaluation demonstrates the superiority of the proposed algorithm.