An Experiment with Ant Colony Optimization for Edge Detection in Images (Algebras, logics, languages and related areas)

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  • An Experiment with Ant Colony Optimization for Edge Detection in Images

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Ant colony optimization (ACO) is a simulation of the natural behavior of ant species; where ants find the shortest path between its nest and food source. Image edge detection is a basic image processing task, where the outlines of the objects in an image are identified, and then extracted. We present the results of an experiment conducted with the ACO algorithm applied to the edge detection problem.

Journal

  • RIMS Kokyuroku

    RIMS Kokyuroku 2096 90-101, 2018-12

    京都大学数理解析研究所

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