摘要
介绍了一种基于灰度比较的边缘检测算法——SUSAN算法,讨论了该算法的模板和门限的选取方法,并用VC++编程实现了该算法。通过与传统边缘检测算法的比较,结果表明:由于该算法不涉及梯度的运算,因此对噪声图像的边缘检测效果优于传统的边缘检测算法。该算法适于含噪图像或低对比度灰度图像的边缘检测。
SUSAN edge detector based on gray comparison is introduced in this paper. How to choose the template and threshold is discussed too. SUSAN edge detector to image is realized using VC^＋＋. By comparison with traditional edge detection method, the experiment results and analysis show that because this algorithm don＇t deal with grads operation, so the effect of SUSAN edge detector to image containing noise is excellent than traditional edge detection method. SUSAN edge detector is suit to image containing noise and gray image of low contrast.
出处
《现代电子技术》
2007年第8期189-191,共3页
Modern Electronics Technique
