DocumentCode
3502232
Title
Image matching based on fuzzy information
Author
Jinwen, Tian ; Huang Jianzhong ; Jian, Liu ; Dchua, Li
Author_Institution
Inst. of Pattern Recognition & AI, Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
2
fYear
1996
fDate
14-18 Oct 1996
Firstpage
946
Abstract
Conventional image matching methods are based on statistical information. But actually, images contain a lot of fuzzy information. Based on fuzzy set similarity, a new fuzzy matching algorithm is presented in this paper. As fuzzy theory has the ability of describing fuzzy information contained in images, the method based on fuzzy similarity should give good performance for image matching
Keywords
fuzzy set theory; image matching; fuzzy information; fuzzy matching algorithm; fuzzy set similarity; image matching; Artificial intelligence; Computer vision; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Ice; Image matching; Pattern recognition; Real time systems; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.566246
Filename
566246
Link To Document