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ICIP
2005
IEEE

A modified FCM with optimal Peano scans for image segmentation

14 years 5 months ago
A modified FCM with optimal Peano scans for image segmentation
This paper describes a new method for fuzzy segmentation based on spatial constraints. Taking into account the neighborhood influence two techniques are used. First a new feature is derived from Peano scans to represent a spatial relationship among neighbors. Second we incorporate a regularization term to Fuzzy C-means algorithm (FCM). The algorithm is tested on both synthetic and multispectral images. Experimental results are presented and discussed. They show the effectiveness of the method.
Adel Hafiane, Bertrand Zavidovique, Subhasis Chaud
Added 23 Oct 2009
Updated 14 Nov 2009
Type Conference
Year 2005
Where ICIP
Authors Adel Hafiane, Bertrand Zavidovique, Subhasis Chaudhuri
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