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Segmentation of MR Brain Images Using a Data Fusion Approach

International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 36 - Number 12
Year of Publication: 2011
Lamiche Chaabane
Moussaoui Abdelouahab

Lamiche Chaabane and Moussaoui Abdelouahab. Article: Segmentation of MR Brain Images using a Data Fusion Approach. International Journal of Computer Applications 36(12):27-32, December 2011. Full text available. BibTeX

	author = {Lamiche Chaabane and Moussaoui Abdelouahab},
	title = {Article: Segmentation of MR Brain Images using a Data Fusion Approach},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {36},
	number = {12},
	pages = {27-32},
	month = {December},
	note = {Full text available}


The goal of this work is to evaluate the segmentation of MR images using the multispectral fusion approach in the possibility theory context. The process of fusion consists of three steps : (1) information extraction, (2) information combination, and (3) decision step. Information provided by T2-weighted and PD-weighted images is extracted and modeled separately in each one using fuzzy logic, fuzzy maps obtained are combined with an operator which can managing the uncertainty and ambiguity in the images and the final segmented image is constructed in decision step. Some results are presented and discussed.


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