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《Journal of Image and Graphics》 2004-08
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An Adaptive Edge-detection Method Based on Canny Algorithm

WANG Zhi, HE Sai-xian (Measuring & Testing Technology and Communication Engineering Ministerial Key Laboratory, School of Electronics Information, Wuhan University, Wuhan 430079)  
This paper is based on Canny algorithm.An adaptive Canny algorithm of edge-detection method is proposed.This algorithm not only keeps the Canny's excellent performance in good localization,only one response to a single edge and good detection,but also improves the performance in the detail edge-detection and good detection. Canny adaptive algorithm divides image into sub-images and detects them with adaptive threshold value according to the whole image edge information, that improves the automaticity of edge-detection.With the mathematic analysis and test result,it is demonstrated that the adaptive edge-detection method is an efficient improving approach on edge-detection.
【CateGory Index】: TP391.41
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【Secondary References】
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