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An approach of ant colony optimization combing gradient and relative difference of statistical means to image edge detection is proposed in this paper. The values of gradient and the relative difference of statistical means are extracted for the ants' searching. Experimental results show that the superior performances of the proposed algorithm.
An edge detection algorithm that combines an ant colony optimization (ACO) and statistical estimation is presented in this paper. The pheromone which can steer the movement of ant is decided by the information of statistical estimation of the pixel's circular neighborhood. The superior performances are shown in the experimental results.
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