A Morphological Filtering Algorithm Based on Extension Measurement
-
摘要: 分析了传统形态滤波器的局限性,提出了一种建立在图像连通分量的延展度度量上、基于轮廓结构元素的新型CS形态滤波器。定义了一个基于轮廓结构元素的形态学击中运算,CS形态滤波器使用这一运算来提取噪声区域,一次性地将噪声区域内的噪声全部去除。实验结果表明,该滤波算法不仅具有很好的抗噪性,而且在保护图像细节方面的能力尤为突出。Abstract: While traditional linear and non-linear filters reduce the noise in images,some important details are unavoidably lost,especially linear structures such as curves and edges.Morphological extension is a valid measurement mechanism to distinguish noise and detail information.Different structure features can be expressed by measuring their morphological extension.Non-linear filters based on mathematical morphology have validly and are widely applied in the field of image filtering.After analyzing the limitations of traditional morphological filters,this paper proposes a new CS morphological filtering model,based on contour-structuring elements,for measuring the morphological extension of connected components in images.A morphological hit operation based on contour- structuring elements is defined.Using the hit operation,the proposed CS morphological filter can extract a noise-area and clear all noises in the noise-area at once.Experimental results indicate that this method has satifactory noise-resistance characteristics and excellent performance for image detail preservation.
-
-
[1] 张志立李自品,李洪涛,舒乃秋,. 基于形态滤波的绝缘子污秽放电声发射信号降噪[J]. 武汉大学学报(工学版). 2011(05)[2] 卢志才米东,徐章遂,孙永谨,贾春宁,. 多尺度多元素形态滤波自适应降噪研究[J]. 河北科技大学学报. 2011(03)[3] 康牧王宝树,. 一种基于图像增强的图像滤波方法[J]. 武汉大学学报(信息科学版). 2009(07)[4] 卜方玲徐新,. 一种基于小波分析的SAR图像斑点噪声滤波算法[J]. 武汉大学学报(信息科学版). 2001(04)
计量
- 文章访问数: 1345
- HTML全文浏览量: 67
- PDF下载量: 441
下载:
