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Image Edge Detection Based on Ant Colony Optimization Algorithm

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  • Yin Huan

    (North China Electric Power University, Baoding, China)

Abstract

Ant colony optimization (ACO) is a new heuristic algorithm which has been proven a successful technique. The article applies the ACO to the image edge detection, get edge image edge according to different neighborhood access policy through MATLAB simulation, and use the best neighborhood strategy to get detection. Compared with the traditional edge detection methods, the algorithm can effectively suppress the noise interference, retain most of the effective information of the image.

Suggested Citation

  • Yin Huan, 2016. "Image Edge Detection Based on Ant Colony Optimization Algorithm," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 8(1), pages 1-12, January.
    • Handle: RePEc:igg:japuc0:v:8:y:2016:i:1:p:1-12
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