Hybrid softcomputing model for lesion identification and information combination: some case studies

Authors:
Arpit Srivastava;Abhinav Asati;Sandeep Kumar;Yash Sharma;Mahua Bhattacharya
Affiliations:
Department of Electronics and Communication Engineering, Maulana Azad National Institute of Technology, Madhya Pradesh Bhopal, 462051, India;Department of Electronics and Communication Engineering Maulana Azad National Institute of Technology Bhopal, Madhya Pradesh 462051, India;Department of Information Communication Technology, ABV Indian Institute of Information Technology and Management, Madhya Pradesh, Gwalior, 474010, India;Department of Information Communication Technology, ABV Indian Institute of Information Technology and Management, Madhya Pradesh, Gwalior, 474010, India;Department of Information Communication Technology, ABV Indian Institute of Information Technology and Management, Madhya Pradesh, Gwalior, 474010, India
Venue:
International Journal of Data Mining and Bioinformatics
Year:
2012

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Abstract

Authors present segmentation and information combination of section of human brain images. Improved hybrid algorithm is presented for clustering, which integrates the concept of Rough sets, Fuzzy sets incorporated with probabilistic as well as possibilistic memberships. The segmented images are fused using wavelet and curvelet based techniques. Lower and upper approximations of Rough sets handle uncertainty, vagueness, and incompleteness in class definition. To accelerate the segmentation process, the RFPCM has been equipped with membership suppression mechanism, which creates competition among clusters to speed-up the clustering process using MR T1 and MR T2 images of section of human brain.