Edge detection based on the collective intelligence of artificial swarms

  • Authors:
  • X. Zhuang;N. E. Mastorakis

  • Affiliations:
  • HIEST, Zografou, Athens, Greece;Department of Computer Science, Military Institutions of University Education, Hellenic Naval Academy, Piraeus, Greece

  • Venue:
  • ESPOCO'05 Proceedings of the 4th WSEAS International Conference on Electronic, Signal Processing and Control
  • Year:
  • 2007

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Abstract

In this paper, the swarm intelligence technique is applied in image feature extraction. The perceptual graph is proposed to represent the relationship between adjacent image points. As a typical technique of the swarm intelligence, the ant colony system is applied to build the perceptual graph of digital images, which makes the basis of the layered model of a machine vision system. In the experiments, the edge feature in digital images is extracted based on the proposed machine vision model. The experimental results show that the artificial ant swarm can effectively perform edge extraction in digital image.