Abstract
Edge detection as an important detection algorithm can effectively extract image information, reduce calculation complexity and which is the basis of image various subsequent proceedings. In this paper, Ant Colony Optimization algorithm was adopted to detect classical image and SAR oil film image edges. Classical cameraman image and two Mexico gulf oil spill images were chosen to extract edges by setting reasonable parameters and adaptive thresholds, and finally accurate oil image edge detection was implemented. Experimental results show that, Ant Colony Optimization algorithm can effectively extract the outline of SAR oil film target texture, maintain the continuity of oil film, show ideal speckle inhibition capacity, ensure the accuracy of detection, which has wide application prospect in SAR image edge detection.
Published Version
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