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15 November 2007 Approach to image segmentation with edge gradient estimate
Yue-e Li, Yang Xu, Yingming Chen
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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67861S (2007) https://doi.org/10.1117/12.748907
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
Abstract
Gradient amplitude and phase can't be used together in traditional edge detection procedure, So an algorithm for image segmentation based on edge gradient estimate is given in this paper. First, a standard template is ascertained by the gradient phase of the center pixel; then, estimate edge gradient is the absolute value of the correlation coefficient between the normalized data vector and the template. The method of non-maximum suppression is used when determining pixel local maximum point; hysteresis threshold is used when determining edge point. In both the treatment process, the normalized gradient amplitude and phase would regard as distinguish basis, so this will increase the capability of weak edge detection, and it can suppress the noise impact. This paper gives the relevant experiment result.
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Yue-e Li, Yang Xu, and Yingming Chen "Approach to image segmentation with edge gradient estimate", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67861S (15 November 2007); https://doi.org/10.1117/12.748907
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KEYWORDS
Image segmentation
Edge detection
Image processing
Detection and tracking algorithms
Data centers
Image analysis
Image processing algorithms and systems
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