摘要
分析了边缘检测的原理,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LoG算子。基于C++ Builder6．0实现了一个边缘检测处理软件,本软件主要是针对B超图像进行边缘检测,在HIFU治疗中为肿瘤的精确定位提供了依据。
The principle of ' edge detection' is analyzed. Some frequently used edge detection algorithms are compared and analyzed. The results show that Sobel, Prewitt and Laplacian operators are sensitive to noise, Hough transform fits in with whole detection, while LoG algorithm' s average is zero and it doesn't change the whole dynamic area. Accordingly LoG algorithm is preferable. An edge detection programme is developed based on C+ + Builder6. 0. The programme, mainly used for the edge detection of ultrasound B-scan images, helps with the accurate location of tumors in the treatment of HIFU.
出处
《河南科技大学学报（自然科学版）》
CAS
2006年第2期33-36,共4页
Journal of Henan University of Science And Technology:Natural Science
基金
河南科技大学科研基金项目(2003QN04)
