摘要
利用最大熵图像分割理论和形态学方法相结合,提出了一种新的灰度图像的边缘提取方法。以一维最大熵和二维最大熵为例,分别与形态学方法结合进行了实验对比。试验表明,该方法与传统边缘检测方法相比,能够在无需参数输入的前提下自动提取出图像边缘,且检测到的边缘都是单像素线条;可以在尽量保留图像最大信息量的基础上,快速准确地提取出单像素封闭边缘。
Through the combination of maximal entropy theory and morphology method, a new edge detection method for gray images is proposed in this paper.The experiment indicates that it can obviously improve the quality of edge detection in this method compared with traditional methods,and the detected edges are all single-pixel line.It remains the image information at most while picks the single-pixel edge quickly and precisely.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第21期70-71,92,共3页
Computer Engineering and Applications
关键词
灰度图像
边缘检测
形态学
熵
gray image
edge detection
morphology
entropy
