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