New method for edge detection of noisy gray scale image

doi:10.3778/j.issn.1002-8331.2010.11.056

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (11): 183-185.DOI: 10.3778/j.issn.1002-8331.2010.11.056

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

New method for edge detection of noisy gray scale image

CHEN Hong-yan¹，MA Shang²，WANG Hai-jiang³

1.College of Information Engineering，Southwest University of Science and Technology，Mianyang，Sichuan 621010，China
2.National Key Laboratory of Communication，University of Electronic Science and Technology of China，Chengdu 610054，China
3.College of Electronics Engineering，University of Electronics Science and Technology of China，Chengdu 610054，China

Received:2008-10-07 Revised:2008-12-25 Online:2010-04-11 Published:2010-04-11
Contact: CHEN Hong-yan

新的噪声污染灰度图像边缘检测方法

陈红艳¹，马上²，王海江³

1.西南科技大学信息工程学院，四川绵阳 621010
2.电子科技大学通信抗干扰国防重点实验室，成都 610054
3.电子科技大学电子工程学院，成都 610054

通讯作者: 陈红艳

Abstract

Abstract: The normal methods with different algorithm are very sensitive to noise in edge detection.According to this problem，a new edge detection method for noisy gray scale image based on Independent Component Analysis（ICA） is proposed.The methods extract pattern template by calculating the higher statistical information of image data.Then a gray scale image contaminated by Gaussian noise is transformed into a pattern map by pattern matching.Thus the edges can be easily detected from pattern map.The experiments show that the proposed algorithm is a valid method of edge detection for image contaminated by Gaussian Noise.

Key words: edge detection, noisy image, Independent Component Analysis（ICA）, pattern template

摘要： 传统的图像边缘检测方法由于引入了各种微分运算，因此用于噪声图像边缘检测时对噪声极度敏感。针对这一问题，提出了一种基于独立分量分析技术的噪声图像边缘检测方法，该算法通过计算数据之间的高阶统计信息，提取特征模板，然后将被高斯噪声污染的灰度图像与这些模板逐个匹配，提取出边缘成分。实验结果表明，基于独立分量分析技术的模板匹配方法自适应强，复杂度低，是一种有效的高斯噪声污染灰度图像边缘检测方法。

关键词: 边缘检测, 噪声图像, 独立分量分析, 特征模板

CLC Number:

TN911.73

CHEN Hong-yan¹，MA Shang²，WANG Hai-jiang³. New method for edge detection of noisy gray scale image[J]. Computer Engineering and Applications, 2010, 46(11): 183-185.

陈红艳¹，马上²，王海江³. 新的噪声污染灰度图像边缘检测方法[J]. 计算机工程与应用, 2010, 46(11): 183-185.

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New method for edge detection of noisy gray scale image

新的噪声污染灰度图像边缘检测方法

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