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Research on an Improved Gray Gradient Orientation Algorithm in Anisotropic High-Pass Filtering
Auckland, New Zealand December 13-December 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2006.60Sixth International Conference on Hyb ...
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Qing Pan, Huazhong University of Science and Technology, China
Guoping Yan, Huazhong University of Science and Technology, China
Yukuan Zhang, Huazhong University of Science and Technology, China
Nili Tian, Huazhong University of Science and Technology, China
The edge's orientation obtained with the method of gray gradient orientation may be quite different from the real edge's orientation, leading to deterioration of the high-pass filtering performance. In this paper, an original scheme of the improved algorithm on the method of the gray gradient orientation is proposed. Making full use of the pixels in the region to obtain the estimated angle, which is much closer to that of the real edge?s orientation. The experimental result shows that using the algorithm put forward in this paper, we can obtain the more ideal filtering performance in highpass filtering.
Index Terms:
edge detection anisotropic high-pass filtering coordinate transformation
Citation:
Qing Pan, Guoping Yan, Yukuan Zhang, Nili Tian, "Research on an Improved Gray Gradient Orientation Algorithm in Anisotropic High-Pass Filtering," his, pp.23, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006
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