Probability theory based model for image gradient classification and its application in edge detection

doi:10.3778/j.issn.1002-8331.2010.18.056

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (18): 180-182.DOI: 10.3778/j.issn.1002-8331.2010.18.056

• 图形、图像、模式识别 • Previous Articles Next Articles

Probability theory based model for image gradient classification and its application in edge detection

ZHANG Ling-yan，YAN Li，WANG Da-kai

College of Information Science & Technology，Northwest University，Xi’an 710127，China

Received:2008-12-15 Revised:2009-03-02 Online:2010-06-21 Published:2010-06-21
Contact: ZHANG Ling-yan

图像梯度分类的概率模型及在边缘检测中的应用

张玲艳，闫丽，王大凯

西北大学电子信息科学与技术学院，西安 710127

通讯作者: 张玲艳

Abstract

Abstract: A probability theory based model for image gradient classification is established and then application of determining automatically the thresholds for Canny edge detector is presented.Experimental results show that the method is effective and better than the original Canny algorithm.

Key words: image gradient, probability theory model, edge detection, Canny algorithm

摘要： 从图像梯度分类的概率模型出发，提出一种自动确定Canny算法阈值的新方法。通过实验表明，这种改进的Canny算法是有效的，性能优于传统Canny算法。

关键词: 图像梯度, 概率模型, 边缘检测, Canny算法

CLC Number:

TP391

ZHANG Ling-yan，YAN Li，WANG Da-kai. Probability theory based model for image gradient classification and its application in edge detection[J]. Computer Engineering and Applications, 2010, 46(18): 180-182.

张玲艳，闫丽，王大凯. 图像梯度分类的概率模型及在边缘检测中的应用[J]. 计算机工程与应用, 2010, 46(18): 180-182.

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Probability theory based model for image gradient classification and its application in edge detection

图像梯度分类的概率模型及在边缘检测中的应用

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