Adaptive image segmentation with distributed behavior-based agents

Jiming LIU, Yuan Y. Tang

Research output: Contribution to journalArticlepeer-review

107 Citations (Scopus)

Abstract

This paper presents an autonomous agent-based image segmentation approach. In this approach, a digital image is viewed as a two-dimensional cellular environment in which the agents inhabit and attempt to label homogeneous segments. In so doing, the agents rely on some reactive behaviors such as breeding and diffusion. The agents that are successful in finding the pixels of a specific homogeneous segment will breed offspring agents inside their neighboring regions. Hence, the offspring agents will become likely to find more homogeneous-segment pixels. In the mean time, the unsuccessful agents will be inactivated, without further search in the environment.

Original languageEnglish
Pages (from-to)544-551
Number of pages8
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume21
Issue number6
DOIs
Publication statusPublished - 1999

Scopus Subject Areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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