计算机工程2012，Vol.38Issue(7)：182-184,187,4.DOI:10.3969/j.issn.1000-3428.2012.07.060
医学图像的自适应非局部均值去噪算法
Adaptive Non-local Means Denoising Algorithm for Medical Image
摘要
Abstract
To improve quality of medical image and give help to clinical diagnosis, an adaptive Non-local Means(NLM) denoising algorithm based on gradient information is proposed. The improved algorithm employies the gradient direction information to adaptively rotate the local similarity window so that more matching pixels are found. Based on least square idea, relationship model between the optimum parameter for the gradient amplitude threshold and the noise standard variance is established. Therefore, the adaptive selection of filtering parameter is realized. Experimental results show that the algorithm attains superior denoising effect and is appropriate for post-processing of medical image.关键词
梯度/非局部均值滤波/医学图像/自适应滤波Key words
gradient/ Non-local Means(NLM) filtering/ medical image/ adaptive filtering分类
信息技术与安全科学引用本文复制引用
张权,桂志国,刘祎,马杰..医学图像的自适应非局部均值去噪算法[J].计算机工程,2012,38(7):182-184,187,4.基金项目
国家自然科学基金资助项目(61071192) （61071192）
山西省自然科学基金资助项目(2009011020-2) （2009011020-2）
