基于SUSAN的种子点生长边缘检测算法  

A Seed Point-Growth Algorithm of Image Edge Detection Based on SUSAN

作　　者：李艳梅[1,2] 胡晓辉[2] 王静[2] 

机构地区：[1]甘肃农业大学信息科学与技术学院,甘肃兰州730070 [2]兰州交通大学电子与信息工程学院,甘肃兰州730070

出　　处：《计算机系统应用》2010年第7期204-206,共3页Computer Systems & Applications

摘　　要：角点是一种特殊的边缘点,是数字图像中重要的几何特征。利用边缘点连续的特性,提出了一种基于SUSAN算法的种子点生长边缘检测算法。利用Susan算法获得图像的角点,再将获得的角点作为种子点,根据边缘点的判断准则对其进行生长,最终实现边缘检测。实验证明,设计的算法具有较高的效率和很好的抗噪声能力,是一种有效的边缘检测方法。Comer is a special edge point, which is the important geometrical features of digital image. This article uses the characteristic that edge is continual and proposes the algorithm based on the growth of the seed point SUSAN edge detection. It obtains the images of the comer points by using the Susan algorithm, and then gets the comer points as seed points, carries on the growth according to the criteria to determine the edge points. The paper realizes the edge detection finally. The experimental results based on this method was proved to be feasible.

关 键 词：边缘检测 种子点 角点提取 SUSAN 生长 SOBEL 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]