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
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;
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
DOI :
10.1109/CCDC.2009.5191495
