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一种基于类比的去噪算法研究
引用本文:宗庆梅,桂预风.一种基于类比的去噪算法研究[J].电子测量技术,2009,32(11):34-36.
作者姓名:宗庆梅  桂预风
作者单位:武汉理工大学理学院,武汉,430063
摘    要:类比值进行去噪是基于灰色系统理论的方法。根据图像中噪声像素的强度值与周围的非噪声像素比较起来有非常大的变化,而非噪声像素的强度值与周围像素值几乎近似的特点,依照类比的定义,根据噪声点对应的类比值较大,而非噪声点对应的类比值较小的特点,利用阈值方法可以准确的识别出图像的噪声点。

关 键 词:去噪  类比  图像处理  灰色系统理论

Image de-noise method based on class ratio
Zong Qingmei,Gui Yufeng.Image de-noise method based on class ratio[J].Electronic Measurement Technology,2009,32(11):34-36.
Authors:Zong Qingmei  Gui Yufeng
Affiliation:Zong Qingmei Gui Yufeng(School of Science of Wuhan University of Ttechnology,Wuhan 430063)
Abstract:Image denoising is based on the values of class ratio is a method given in grey system theory. Since noises of an image correspond to intensity variation,the noise pixels are characterized with the strong variation in intensity values compared with the non-noise pixels,the intensity value of non-noise pixel is alike in the pixels around ,according to the definition of class ratio,the noise pixels results in larger class ratio while non-noise pixels result in small class ratio. Thresholding action is carried...
Keywords:De-noise  Class ratio  Image processing  Grey system theory  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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