常用的数字图像边缘检测算法分析  

Analysis to Commonly-used Digital Image Edge Detection Algorithms

作　　者：吴昊[1] 

机构地区：[1]安徽商贸职业技术学院艺术设计系,安徽芜湖241002

出　　处：《淮海工学院学报（自然科学版）》2013年第3期31-33,共3页Journal of Huaihai Institute of Technology:Natural Sciences Edition

摘　　要：随着计算机视觉技术的发展,数字图像处理技术被广泛应用到各个行业中,并展现出广阔的发展空间。边缘提取技术是计算机视觉技术的一个基本的核心技术,因为边缘包含着图像的重要信息,边缘提取的效果在一定程度上也影响着进一步处理的精度和性能。介绍了基础边缘性质的检测算子、二阶倒数过零点的边缘检测方法,并对各算法的性能进行了分析比较,指出了各种算法的优缺点和应用领域。With the development of computer vision technology, digital image processing technol-ogy has been widely applied to various industries with a wide space for development. Edge extrac-tion technology is a basic core of computer vision technology because the edge of an image con- tains important information about it and edge extraction results affects the accuracy and perform- ance of further processing to a certain extent. This paper describes the basic properties of the edge detection operator and the second-countdown zero crossing edge detection method. The per-formance of each algorithm is analyzed and compared, and the advantages and disadvantages of various algorithms as well as their applications are pointed out.

关 键 词：数字图像 边缘检测 检测算子 微分算子 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]