Title :
Edge feature extraction in digital images with the ant colony system
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., HIEST Univ., Athens, Greece
Abstract :
In this paper, the perceptual graph is proposed to represent the relationship between neighboring image points. The ant colony system is applied to build the perceptual graph of digital images, which makes the basis of the layered model of a machine vision system. In the experiments, the edge feature in digital images is extracted based on the proposed machine vision model. The experimental results show that the ant colony system can effectively extract image features.
Keywords :
artificial life; computer vision; edge detection; feature extraction; graph theory; optimisation; probability; ant colony system; digital image extraction; edge detection; edge feature extraction; image points; image processing; machine vision system; perceptual graph; swarm intelligence; Ant colony optimization; Artificial intelligence; Computer vision; Digital images; Feature extraction; Image edge detection; Image processing; Machine intelligence; Machine vision; Particle swarm optimization;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2004. CIMSA. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8341-9
DOI :
10.1109/CIMSA.2004.1397248
