B超图像不同边缘检测算法的效果比较  

The Analysis and Comparison of Different Edge Detection Algorithms in Ultrasound B-Scan Images

作　　者：张洛平[1] 杨伯原[1] 王春红[1] 

机构地区：[1]河南科技大学机电工程学院,河南洛阳471003

出　　处：《中国医疗器械杂志》2006年第3期170-172,共3页Chinese Journal of Medical Instrumentation

摘　　要：对几种常见的边缘检测算法进行了分析比较,结果表明Sobel、Prewitt和拉普拉斯算子对噪声敏感,Hough变换适合全局检测,而高斯-拉普拉斯算子(LoG)的平均值是零,它与图像的卷积不会改变图像的整体动态范围,从而选出最优算子为LoG算子。In this paper, some familiar algorithms of edge detection in ultrasound B-scan images are analyzed and studied. The results show that Sobel, Prewitt and Laplacian operators are sensitive to noise, Hough transform adapts to the whole detection, while LoG algorithm＇s average is zero and it couldn＇t change the whole dynamic area. Accordingly LoG algorithm is preferable.

关 键 词：边缘检测 算法 C++BUILDER B超图像 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]