摘要
提出了一种将邓氏关联度与经典的Prewitt边缘检测算子相结合的边缘检测方法。采用Prewitt算子作为参考序列,图像各像素点及其8邻域构成比较序列,计算参考序列和比较序列之间的邓氏关联度,依据邓氏关联度的大小来判断图像的边缘。仿真实验表明,该方法可以较准确地检测出有用的图像边缘信息,具有一定的抗噪能力,提取的边缘比较完整,非边缘点少,连续性好。
A method for image edge detection is presented based on Deng interrelatedness and the classical Prewitt edge detection operator. The method takes the Prewitt operator as ref- erential sequence, calculates the Deng interrelatedness of the image pixels between the com- pared sequence and referential sequence in the eight neighborhoods, and detectes the edge ac- cording to the Deng interrelatedness. The experimental results show that the proposed meth- od can detect useful information of image edge more accurately and has some anti-noise abili- ty, and also proves that edge extracted by the combined method has more completion and consecutiveness and fewer non-edge points. The method is also applied to edge detection of remote sensing image.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2012年第8期929-931,共3页
Geomatics and Information Science of Wuhan University
基金
湖北省自然科学基金资助项目(2011CDB253)
