摘要
传统的单边几何阈值SUSAN算法,易将孤立噪声点以及细线段上的点误检测为角点,或者把一些像素点较少的尖锐区域的角点检测出来,在很多的应用场合这些点并非兴趣点。为了有效地消除孤立噪声点的误检测以及剔除不感兴趣点,提出一种双边几何阈值SUSAN算法。
Traditional SUSAN comer detection algorithm with single geometry threshold, is easy to mistake isolated points and the points on a thin line as comer points, and some comers of small area with few pels will be detected by it. But most of time, we do not interest in these points. An improved SUSAN algorithm with double geometry threshold is present, by which mistakable detections of isolated points can be avoided and uninteresting points can be eliminated.
出处
《微处理机》
2010年第5期71-73,共3页
Microprocessors