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Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions

journal contribution
posted on 2014-12-01, 00:00 authored by V P Ananthi, P Balasubramaniam, Chee Peng LimChee Peng Lim
Segmentation is the process of extraction of objects from an image. This paper proposes a new algorithm to construct intuitionistic fuzzy set (IFS) from multiple fuzzy sets as an application to image segmentation. Hesitation degree in IFS is formulated as the degree of ignorance (due to the lack of knowledge) to determine whether the chosen membership function is best for image segmentation. By minimizing entropy of IFS generated from various fuzzy sets, an image is thresholded. Experimental results are provided to show the effectiveness of the proposed method.

History

Journal

Pattern Recognition

Volume

47

Issue

12

Pagination

3870 - 3880

Publisher

Elsevier BV

Location

Amsterdam , Netherlands

ISSN

0031-3203

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2014, Elsevier BV