Title :
Image segmentation by ant swarm - a case study of digital signal processing with biological mechanism of intelligence
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., HIEST Univ., Athens, Greece
Abstract :
A perceptual graph is proposed to represent the relationship between adjacent image points. The perceptual graph is built by the ant colony system, which is a kind of biological intelligence mechanism. Digital image segmentation is implemented based on the perceptual graph. Experimental results show the effectiveness of the segmentation method by ant swarm.
Keywords :
artificial intelligence; graph theory; image segmentation; visual perception; adjacent image points; ant colony system; ant swarm; biological intelligence mechanism; digital signal processing; image segmentation; perceptual graph; Ant colony optimization; Artificial intelligence; Artificial neural networks; Biology; Biomedical signal processing; Computer aided software engineering; Digital images; Digital signal processing; Image segmentation; Particle swarm optimization;
Conference_Titel :
Digital Signal Processing Workshop, 2004 and the 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th
Print_ISBN :
0-7803-8434-2
DOI :
10.1109/DSPWS.2004.1437929
