图学学报
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摘要: :传统LOG 边缘检测算法对合成孔径雷达图像进行边缘检测时,对噪声敏感,同时也 易损坏部分低强度边缘。针对这一问题,提出了一种新型的LOG 边缘检测算法,首先采用双边滤 波和自适应中值滤波来代替传统LOG 算子中的高斯滤波,再计算平滑后图像的拉普拉斯,最后提 取运算后的零交叉点作为图像的边缘。仿真实验表明,本文方法在脉冲噪声环境下具有显著的去噪 效果,而且能较好地保护边缘,提高了检测精度,相对传统LOG 算法具有更好地检测效果。
关键词: LOG 算子, 边缘检测, 边缘保护, 双边滤波, 合成孔径雷达图像
Abstract: The use of tradition LOG edge detection algorithm to filter SAR image is sensitive to noise, in the meanwhile, it also damages partial low intensity edges. To solve this problem, a new edge detection algorithm is proposed. Firstly, the Gaussian function in the traditional LOG operator is replaced by Adaptive median filter and bilateral filtering. Secondly, the Laplacian is computed after the image is smoothed. Finally, the zero-crossing points are extracted as the edge of the image. With in impulse noise image, experiments results demonstrate that the new method can provide better de-noising results and preserves edges better at the same time. It also improves the accuracy of edge detection. Compared with the tradition LOG algorithm, it has a better detection result.
Key words: LOG operator, edge detection, edge preserve, bilateral filter, synthetic aperture radar image
李洪安, 张 飞, 杜卓明, 康宝生, 李占利. 针对合成孔径雷达图像的新型LOG 边缘检测算法[J]. 图学学报.
Li Hongan, Zhang Fei, Du Zhuoming, Kang Baosheng, Li Zhanli. A New LOG Edge Detection Algorithm Based on Synthetic Aperture Radar Image[J]. Journal of Graphics.
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http://www.txxb.com.cn/CN/Y2015/V36/I3/413