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
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;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8025-8
DOI :
10.1109/ICACIA.2010.5709894
