Journal of Shanghai University(Natural Science Edition)
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XU Wei-dian,XU Li-chun,HU Yue-li
School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072, China
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Edges in image is important for object recognition and computer analysis, and a large number of edge extraction algorithms are available. This paper proposes an improved method on the basis of a half-neighborhood operator. In order to decide whether a pixel belongs to an edge, a 3-by-3 block centered at the pixel is chosen, and the maximum, minimum, mean, and standard deviation are calculated. The standard deviation is used as a threshold value, and at the same time, the ability of human eyes in distinguishing gray-level differences is taken into consideration. Edges in a number of images are extracted using the described method, and the results show validity of the method.
Key words: gray level, half-neighborhood operator, threshold, edge extraction
XU Wei-dian;XU Li-chun;HU Yue-li. Adaptive Edge Detection Using a Half-Neighborhood Algorithm[J]. Journal of Shanghai University(Natural Science Edition).
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https://www.journal.shu.edu.cn/EN/Y2006/V12/I2/146