Research on an Improved Gray Gradient Orientation Algorithm in Anisotropic High-Pass Filtering

Qing Pan, Guoping Yan, Yukuan Zhang, Nili Tian
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引用次数: 1

Abstract

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.
各向异性高通滤波中改进的灰度梯度定向算法研究
灰度梯度定向法得到的边缘方向可能与实际边缘方向相差较大,导致高通滤波性能下降。本文提出了一种基于灰度梯度定向方法的改进算法的原始方案。充分利用区域内的像素,得到更接近真实边缘方向的估计角度。实验结果表明,采用本文提出的算法可以在高通滤波中获得更理想的滤波性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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