Segmentation of Mri Images Using Fuzzy C-Means Clustring
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 1
Abstract
Segmentation topic is covered wider area which separate the image into region, which makes the group into homogeneous of given condition according to color, motion, texture, shape and similarly. Segmentation is more reliable than human because there are so many variations from human eye into computer vision example: MRI images, CT images which lead better segmentation approach and it took vital role in image processing. Magnetic resonance image (MRI) segmentation which extraction or separates white image, grey image and cerebrospinal fluids. Here we can segment the white image of MRI brain image and analyze the problem using Fuzzy C-means Clustering algorithm.
Authors and Affiliations
D, Buvaneswari, K. V. Sumathi, K. K. Kavitha
Keywords
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