徐腊梅, 杜绍飞, 吴薇. 利用信号延展度度量的形态滤波算法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(7): 783-788.
引用本文: 徐腊梅, 杜绍飞, 吴薇. 利用信号延展度度量的形态滤波算法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(7): 783-788.
XU Lamei, DU Shaofei, WU Wei. A Morphological Filtering Algorithm Based on Extension Measurement[J]. Geomatics and Information Science of Wuhan University, 2013, 38(7): 783-788.
Citation: XU Lamei, DU Shaofei, WU Wei. A Morphological Filtering Algorithm Based on Extension Measurement[J]. Geomatics and Information Science of Wuhan University, 2013, 38(7): 783-788.

利用信号延展度度量的形态滤波算法

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.

     

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