Image Edge Detection Based on Ant Colony Optimization Algorithm

Author:

Huan Yin1

Affiliation:

1. 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.

Publisher

IGI Global

Subject

General Medicine

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