Title :
A Model of Image Feature Extraction Inspired by Ant Swarm System
Author :
Zhuang, Xiaodong ; Yang, Guowei ; Zhu, Hui
Author_Institution :
Electron. & Eng. Dept., Qingdao Univ., Qingdao
Abstract :
A nature-inspired method of image feature extraction is proposed based on the ant swarm system. The perceptual graph is proposed to represent the relationship between adjacent image points, from which the image features can be extracted. The ant colony system is applied to build the perceptual graph. Edge feature extraction and image segmentation are implemented with the proposed method. The experimental results show that the artificial ant swarm can effectively perform feature extraction in digital images.
Keywords :
feature extraction; image segmentation; particle swarm optimisation; adjacent image points; ant colony system; ant swarm system; artificial ant swarm; digital images; image feature extraction; image segmentation; nature-inspired method; perceptual graph; Ant colony optimization; Automation; Computational modeling; Digital images; Educational institutions; Electronic mail; Feature extraction; Image processing; Image segmentation; Particle swarm optimization; ant colony system; edge detection; feature extraction; image segmentation;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.46
