Title :
Image feature extraction with the perceptual graph based on the ant colony system
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., HIEST Univ., Athens, Greece
Abstract :
In this paper, perceptual graph is proposed to represent the relationship between neighboring points in digital images. 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, edge feature extraction and image segmentation are implemented with the proposed machine vision model. The experimental results show that the ant colony system can effectively extract image features.
Keywords :
computer vision; edge detection; feature extraction; graph theory; image segmentation; ant colony system; digital images; image feature extraction; image segmentation; machine vision system; perceptual graph; Ant colony optimization; Artificial intelligence; Digital images; Feature extraction; Image edge detection; Image processing; Image segmentation; Machine vision; Paints; Particle swarm optimization;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1401398
