Yang C, Chen G, Fan Y
First Military Medical University.
Zhongguo Yi Liao Qi Xie Za Zhi. 1999 Mar;23(2):73-6.
Based on the local gray level histogram of macro-particle image which is more special than other images, a new adaptive noise filtering method for macro-particle image processing is developed and described in this paper. It is made up of median filter and special order statistic (OS) filters (alpha-mean filter and inverse alpha-mean filter). This adaptive filter not only has satisfactory performance in both of noise-removal and edge-preservation of macro-particle image, but also is easy and quick to implement. An example is presented in this paper.
基于比其他图像更特殊的宏观粒子图像的局部灰度直方图,本文提出并描述了一种用于宏观粒子图像处理的新型自适应噪声滤波方法。它由中值滤波器和特殊顺序统计(OS)滤波器(α均值滤波器和逆α均值滤波器)组成。这种自适应滤波器不仅在宏观粒子图像的去噪和边缘保留方面都具有令人满意的性能,而且易于快速实现。本文给出了一个示例。