DocumentCode
2774380
Title
Image matching based on ant colony algorithm
Author
Shi Hong-yan ; Bei Zhao-yu
Author_Institution
Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
fYear
2009
fDate
17-19 June 2009
Firstpage
3888
Lastpage
3891
Abstract
Ant colony algorithm(ACA)is a kind of discrete, parallel and robust evolutionary algorithm with fuzzy clustering ability. ACA has been introduced into image matching from the aspect of fuzzy clustering. The gray value, gratitude and neighbourhood of pixels are considered synthetically. This method is shown as a new algorithm by the test on computer.
Keywords
cooperative systems; fuzzy logic; image matching; optimisation; parallel algorithms; pattern clustering; ACA; ant colony algorithm; discrete algorithm; fuzzy clustering ability; image matching; parallel algorithm; robust evolutionary algorithm; Clustering algorithms; Evolutionary computation; Feature extraction; Image matching; Information science; Robustness; Testing; Ant Colony Algorithm; feature extraction; fuzzy clustering; image matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5191495
Filename
5191495
Link To Document