Image Feature Extraction with the Artificial Ant Colony

Author

Du, Jipeng ; Zhou, Ling ; Xu, Xiaowei ; Yang, Lifen ; Shi, Zhen

Author_Institution

North China Sea Inf. Center, North China Sea Branch of the State Oceanic Adm., Qingdao, China

Volume

2

fYear

2010

fDate

11-12 May 2010

Firstpage

466

Lastpage

469

Abstract

The swarm intelligence technique is applied in image processing for feature extraction. The perceptual graph is proposed to represent the relationship between adjacent image points. The ant colony system is applied to build the perceptual graph. In the experiments, edge extraction and image segmentation are implemented with the proposed method, which show that the artificial ant swarm can effectively perform feature extraction in digital images.

Keywords

artificial intelligence; edge detection; feature extraction; graph theory; image segmentation; artificial ant colony; digital images; edge extraction; image feature extraction; image processing; image segmentation; perceptual graph; swarm intelligence technique; Ant colony optimization; Artificial intelligence; Automation; Digital images; Feature extraction; Image edge detection; Image segmentation; Machine vision; Marine technology; Particle swarm optimization; ant colony system; edge detection; image segmentation; perceptual graph; swarm intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.817

Filename

5522840