红外与激光工程, 2003, 32 (3): 239, 网络出版: 2006-04-28
激光雷达含噪图像边缘检测算法比较
Comparison of the edge detection algorithms for lidar image with speckle noise
摘要
边缘检测是激光雷达图像处理的重要组成部分,其性能直接影响整个雷达系统的精度和性能。对Sobel 、Kirsch 、LOG、Canny、参数检验算子等边缘检测算法原理及其性能参数进行了分析和比较,并且对含有散斑噪声的激光雷达图像边缘检测进行了实验研究,结果表明,参数检验算法在受散斑噪声影响的图像中的检测性能较好。
Abstract
Edge detection plays an important role in lidar image procession. Its capability has direct influence on precision and performance of lidar imaging system. The principles and performance of five edge detection algorithms(Sobel operator,Kirsch operator,LOG operator,Canny operator and parameter verification operator)are analyzed and compared.Experimental research with the five operators is made on real lidar images with speckle noise. The results show that the parameter verification operator works better.
李琦, 傅俊诚, 李自勤, 孙剑峰, 王骐. 激光雷达含噪图像边缘检测算法比较[J]. 红外与激光工程, 2003, 32(3): 239. 李琦, 傅俊诚, 李自勤, 孙剑峰, 王骐. Comparison of the edge detection algorithms for lidar image with speckle noise[J]. Infrared and Laser Engineering, 2003, 32(3): 239.
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