DocumentCode :
3456760
Title :
Segmentation Approach Based on Fuzzy Renyi Entropy
Author :
Liu, Suo Lan ; Kong, Li Zhi ; Wang, Jian Guo
Author_Institution :
Sch. of Inf. Sci. & Eng., Changzhou Univ., Changzhou, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
A new image segmentation method based on three-dimensional fuzzy partition Renyi entropy was presented. First, on the basis of the theory of fuzzy partition, the fuzzy partition Renyi entropy was defined by using conditional probability and conditional entropy. ACO was used to obtain the optimal parameters to segmentation . The effectiveness of the proposed approach was demonstrated to real vision occasion, and better than other contrast methods.
Keywords :
entropy; fuzzy set theory; image segmentation; probability; conditional entropy; conditional probability; fuzzy partition Renyi entropy; image segmentation method; real vision occasion; Educational institutions; Electronic mail; Entropy; Fuzzy sets; Image segmentation; Pattern recognition; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
Type :
conf
DOI :
10.1109/CCPR.2010.5659180
Filename :
5659180
Link To Document :
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