Segmentation of brain MR images with directional weighted optimized fuzzy C-means clustering

Segmentation of brain MR images with directional weighted optimized fuzzy C-means clustering

One of the fundamental and significant distinctiveness of an image is that, adjacent pixels are extremely correlated. The spatial information in the image improves the quality of clustering which is not utilized in the standard Fuzzy C-Means (FCM). FCM algorithm is not robust against noise. In this...

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Bibliographic Details
Main Authors: Arshad, Javed, Wang, Yin Chai, Narayanan, Kaluthramaiyer
Format: Proceeding
Language:English
Published: 2013
Subjects:
T Technology (General)
Online Access:http://ir.unimas.my/id/eprint/16516/
http://ir.unimas.my/id/eprint/16516/1/Segmentation%20of%20brain%20MR%20images%20with%20directional%20weighted%20optimized%20fuzzy%20C-means%20clustering%20%28abstrak%29.pdf

Internet

http://ir.unimas.my/id/eprint/16516/
http://ir.unimas.my/id/eprint/16516/1/Segmentation%20of%20brain%20MR%20images%20with%20directional%20weighted%20optimized%20fuzzy%20C-means%20clustering%20%28abstrak%29.pdf

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