Evolutionary image processing

Jiming Liu*, Y. Y. Tang

*Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

3 Citations (Scopus)

Abstract

This paper 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 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 two-dimensional lattice of a digital image, and exhibit a number of reactive behaviors in order to effectively locate the feature pixels.

Original languageEnglish
Pages283-288
Number of pages6
Publication statusPublished - 1998
EventProceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98 - Anchorage, AK, USA
Duration: 4 May 19989 May 1998

Conference

ConferenceProceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98
CityAnchorage, AK, USA
Period4/05/989/05/98

Scopus Subject Areas

  • Computer Science(all)
  • Engineering(all)

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