DocumentCode
2474414
Title
An improved ant colony optimization algorithm for image extracting
Author
Xiao, Peng ; Li, Jun ; Li, Jian-ping
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
248
Lastpage
252
Abstract
In this paper, an improved ant colony optimization based approach for image edge detection is proposed. The algorithm use ant colony clustering approach to extract edge feature. The approach set the heuristics information function and the initial cluster, thus avoiding the search blindness which carried out by traditional ant colony algorithm. And a series of simulation experiments demonstrate the feasibility and effectiveness of this approach.
Keywords
edge detection; feature extraction; optimisation; pattern clustering; ant colony optimization algorithm; clustering approach; edge detection; feature extraction; heuristics information function; image extracting; Ant colony optimization; Clustering algorithms; Feature extraction; Image edge detection; Optimization; Pixel; Probabilistic logic; ant colony optimization; edge detection; heuristics information;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8025-8
Type
conf
DOI
10.1109/ICACIA.2010.5709894
Filename
5709894
Link To Document