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• W2084599335 abstract "In this paper, an adaptive edges detection method based on ant colony algorithm is presented. Ant colony algorithm is a swarm-based metaheuristic inspired by the self-organizing properties of ant colony in nature. Artificial ants in movement create a pheromone graph, which denotes data of edge image. Further behaviors were added to each ant in response to local stimuli: the ant can self-reproduce and lead its progenitors in an appropriate direction to enhance research in suitable areas and it can die too if it exceeds a specific age and so eliminate the ineffective search. Experimental results show the performance of this technique enriched with these behaviors. It provides a good segmentation, fast and adaptive in extracting edges for a variety of images." @default.
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• W2084599335 date "2013-05-01" @default.
• W2084599335 modified "2023-09-27" @default.
• W2084599335 title "Adaptive edge detection using ant colony" @default.
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• W2084599335 doi "https://doi.org/10.1109/wosspa.2013.6602361" @default.
• W2084599335 hasPublicationYear "2013" @default.
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