基于粗糙集和边缘信息测度的图像边缘检测算法

Algorithm of Image Edge Detection Based on Rough Set and Edge Information Meausure

基于粗糙集的思想,结合边缘信息测度提出一种新的边缘检测算法。本文首先提出边缘信息测度的定义式,并指出其特性,然后根据噪声、边缘信息测度属性对像素点分类。通过设定合适的阈值,较好地区分了各种边缘点和非边缘点,从而得到真正的边缘。实验结果表明,该算法能有效抑制噪声,保留较多的图像边缘的细节信息,边缘图像锐利而清晰,且运算速度较快。

Basing on rough set thinking, and combining with the edge information measure, a new edge detection algorithm is proposed. At first, the definitin of edge detection measure and its property is presened. Then pixels of image are classified by the properties of noises and edge detection measure. Setting the appriate threshold, the edge points and non-edge points are distinguished, and the true edge is found. The experimental results show that this algorithm can not only effectively reduce the noises of the image, but also can precisely detect the edge position, and keep the image edges＇ details well, compute quickly.