Title :
Emergent Behavior of Ant Colony System in Digital Images for Acquiring Edge Information
Author :
Zhu, Hui ; Zhuang, Xiaodong ; Meng, Xiangzhong
Author_Institution :
Qingdao Univ. of Sci. and Technol., Qingdao
Abstract :
A novel method of acquiring edge information in digital images is presented based on the emergent pattern of the behavior of artificial ant swarm in digital images. The perceptual graph is proposed to represent the relationship between adjacent image points. The ant colony system is applied to build the perceptual graph, based on which the edge information is obtained. The experimental results show that the artificial ant swarm can effectively perform edge information acquirement in digital image.
Keywords :
computer vision; edge detection; feature extraction; graph theory; optimisation; ant colony system; artificial ant swarm; digital images; edge extraction; edge information acquirement; emergent behavior; machine vision system; perceptual graph; Ant colony optimization; Automation; Digital images; Educational institutions; Feature extraction; Image edge detection; Intelligent robots; Intelligent systems; Machine vision; Particle swarm optimization;
Conference_Titel :
Information Reuse and Integration, 2007. IRI 2007. IEEE International Conference on
Conference_Location :
Las Vegas, IL
Print_ISBN :
1-4244-1500-4
Electronic_ISBN :
1-4244-1500-4
DOI :
10.1109/IRI.2007.4296607
