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A Edge Detection Scheme Based on Image Euclidean Distance Maps

Peng Li, Ling Li, Min Li


The image edge detection technique directly affect target identification for the purpose of subsequent image processing operations, to effectively extract the image carried by the target information is the main purpose of the image edge detection. In order to achieve effective extraction of the object contour proposed image edge detection algorithm based on Euclidean distance map. The method of calculation of the Euclidean distance between the image pixels within the image distance map distance map to describe the external contour of the scene; distance map improved Canny edge detection can be effective the outline of objects. Compared with the general edge detection algorithm, the overall outline of proposed algorithm can be suppressed too small and trivial details, and to be able to accurately extract target information for subsequent target recognition laid a good foundation.


Euclidean Distance Map, Canny Edge Detection, Effective Extraction, Image Edge Detection.

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