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《Geomatics & Spatial Information Technology》 2017-11
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Edge Detection Based on Ant Colony Algorithm

LIU Meng-meng;MA Chao;College of Surveying,Mapping and Geographical Science,Liaoning Technical University;  
Ant colony algorithm is a popular swarm intelligence optimization algorithm in recent years,which discharge biological pheromone as a basis for guiding the ant subsequent behaviors and searching the optimal solution in the searching regions through the cooperation and interaction with other ants. In this paper,the present algorithm would contact the edge with the pheromone field for edge detection. We proposed a method of eight heuristic information detector based on pixel neighborhood to guide ants select the optimal edge of on the path,so that the segmentation threshold can be automatically determine. Compared with classical edge-measuring operator,the image simulation experiments show that the proposed can accurately extract edge profile and the clearly detail characteristics.
【CateGory Index】: TP18;TP391.41
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