A novel edge detection method based on the maximizing objective function

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摘要

This paper proposes a novel edge detection method for both gray level images and color images. The 3×3 mask in the image is considered and two pixel sets S0 and S1 in the mask are used to define an objective function. The values of the objective function corresponding to four directions determine the edge intensity and edge direction of each pixel in the mask. After all pixels in the image have been processed, the edge map and direction map are generated. Then we apply the non-maxima suppression method to the edge map and the direction map to extract the edge points. The proposed method can detect the edge successfully, while double edges, thick edges, and speckles can be avoided.

论文关键词:Edge detection,Color edge detection,Objective function,Interset distance,Intraset distance,Non-maxima suppression

论文评审过程:Received 21 October 2005, Accepted 27 April 2006, Available online 18 May 2006.

论文官网地址:https://doi.org/10.1016/j.patcog.2006.03.016