基于距离变换和形态学的顶点探测算法

Corner Detection Based on Distance Transform and Morphology

在这篇文章里我们提出了一种简单有效的基于形态学和距离变换的角顶点探测算法 ,此算法和传统的基于链码和基于边缘方向以及近年来新兴的基于形态学的算法有着本质的区别 ,它从算法的基本原理上克服了一些以前算法的缺点 ,最后给出了对二值图像和灰度图像的实验 ,实验表明 ,算法克服了许多其他算法的缺陷 ,保留了他们的优点 ,是一种简单、实用、有效的角顶点探测算法 .

A simple and effective corner detection algorithm based on morphological and distance transform is proposed. In essence, the algorithm is different from the corner detection algorithm which is based on chain-code, oriented edge or morphology. It overcomes some bugs of former algorithms from basic principle. At last, some corner detection experiments of binary and intensity images are given. Experiments indicate that the algorithm overcomes some shortcomings of other algorithms and preserves their advantages. It is a simple, practical, effective corner detection algorithm.