期刊
PATTERN RECOGNITION
卷 47, 期 12, 页码 3870-3880出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2014.07.003
关键词
Membership function; Thresholding; Intuitionistic fuzzy set; Hesitation degree
资金
- UGC-BSR-Research fellowship in Mathematical Sciences
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. (C) 2014 Elsevier Ltd. All rights reserved.
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