Title :
The Emergent Patterns of Artificial Ant Colony´s Collective Behavior in Gray-Scale Images for Feature Extraction
Author :
Zhuang, Xiaodong ; Yang, Guowei ; Wang, Dongqing ; Xu, Liyan
Author_Institution :
Qingdao Univ., Qingdao
Abstract :
In this paper, the emergent behavior of artificial ant colony in gray-scale images is studied. The perceptual graph is proposed to represent the emergent behavior pattern of the evolving ant colony in images. Based on the perceptual graph, image edge feature is efficiently extracted with the emergent behavior pattern of the ant colony. The experimental results indicate the effective and promising application of artificial ant colony in image feature extraction tasks.
Keywords :
feature extraction; graph theory; image processing; optimisation; artificial ant colony; collective behavior; feature extraction; gray-scale image; image edge feature; perceptual graph; Ant colony optimization; Automation; Competitive intelligence; Computational and artificial intelligence; Computational intelligence; Digital images; Feature extraction; Gray-scale; Insects; Intelligent systems;
Conference_Titel :
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1685-1
Electronic_ISBN :
978-1-4244-1686-8
DOI :
10.1109/ICNSC.2008.4525404
