计算机应用研究2011，Vol.28Issue(12)：4780-4781,2.DOI:10.3969/j.issn.1001-3695.2011.12.102
新的噪声污染灰度图像边缘检测统计方法
Novel statistical method for edge detection of noisy gray scale image
摘要
Abstract
The traditional edge detection algorithms had the defect losing details of the edge and the defect enhancing noise in the non-edge, so this paper proposed a novel method of edge detection of noisy gray scale image which was based on the non-parametric change point statistic analysis. It not only minimised the need for a priori information about images, but also didn' t filter any noise as well. It was not only suitable for detecting the edge of images added Gaussian white noise, but also for de-tecting the edge of images added salt and pepper noise. Experimental results show that the algorithm is superior to Sobe1 algo-rithm, and can suppress Gaussian white noise of low SNRT and salt and pepper noise of high density. In all, it is a valid method of edge dejection for gray images contaminated by noise.关键词
边缘检测/非参数统计分析/噪声图像/Sobel算子Key words
edge detection/ nonparametric statistic analysis/ noisy image/ Sobel algorithm/分类
信息技术与安全科学引用本文复制引用
段俊杰,郭鹏江,佟建锋,康宝生..新的噪声污染灰度图像边缘检测统计方法[J].计算机应用研究,2011,28(12):4780-4781,2.基金项目
国家自然科学基金专项基金资助项目(11026135) （11026135）
教育部人文社科基金青年项目(10YJC910007) （10YJC910007）
陕西13115科技创新工程项目(2009ZDTG-85) （2009ZDTG-85）
西北大学交叉学科资助项目(10YJC03) （10YJC03）
