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

Volume

7

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

553

Lastpage

557

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.46

Filename

4668038