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Images Boundary Extraction Based on Curve Evolution and Ant Colony Algorithm

  • JinJiang Li
  • Da Yuan
  • Zhen Hua
  • Hui Fan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6145)

Abstract

A new boundary contour extraction algorithm based on curve evolution model and ant colony algorithm is proposed in this paper. Firstly, ant colony algorithm is used to find the optima of snake points for rapidly converging near image edge. Then the interpolation algorithm is applied to gaining the object’s rough contour that is used as the initial zero level set. The accurate contour can be obtained by the curve evolution method. Experimental results are given to demonstrate the feasibility of the proposed method in extracting contour from the blurred edge and high-noise images.

Keywords

Boundary extraction Ant colony algorithm Curve evolution Mean-shift 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • JinJiang Li
    • 1
    • 2
  • Da Yuan
    • 1
  • Zhen Hua
    • 1
  • Hui Fan
    • 1
  1. 1.School of Computer Science and TechnologyShandong Institute of Business and TechnologyYantaiChina
  2. 2.School of Computer Science and TechnologyShandong UniversityJinanChina

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