Evolutionary image processing

Author

Liu, Jiming ; Tang, Y.Y.

Author_Institution

Dept. of Comput. Studies, Baptist Univ., Kowloon Tong, Hong Kong

fYear

1998

fDate

4-9 May 1998

Firstpage

283

Lastpage

288

Abstract

Presents a new approach to image feature extraction which utilizes evolutionary autonomous agents. Image features are mathematically defined in terms of the gray-level intensity at the image pixels. The optimality of image feature extraction is to efficiently find all the feature pixels from a given image. In the proposed approach, the autonomous agents, being distributed computational entities, operate directly in the 2D lattice of a digital image, and exhibit a number of reactive behaviours in order to effectively locate the feature pixels

Keywords

feature extraction; genetic algorithms; image recognition; software agents; 2D digital image lattice; distributed computational entities; evolutionary autonomous agents; evolutionary image processing; gray-level intensity; image feature extraction; reactive behaviour; self-reproduction; Autonomous agents; Computer vision; Digital images; Evolutionary computation; Feature extraction; Image edge detection; Image processing; Intelligent agent; Lattices; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-4869-9

Type

conf

DOI

10.1109/ICEC.1998.699726

Filename

699726