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This modelization of the image, 1984, affected of noise and of exploitation of the resulting model

机译:图像的这种模型化,1984年,受到噪声的影响以及对所得模型的利用

摘要

The invention relates to a method of modelling a digital image made up of pixels. Each pixel having co-ordinates i, j is defined using the values of parameters alpha sbij/sb, mu 1 and mu 2 which represent histogram Hvij of radiometries over a determined neighbourhood, which is of an identical size for each pixel, in a representation in the form of a mixture: Hvij = alpha ij.G(µ1ij, L) + (1- alpha ij).G(µ2ij, L), wherein: alpha is a mixture coefficient with two laws G; L is a positive number which is chosen according to the number of views; mu 1 and mu 2 denote the parameters to be elaborated; G denotes the gamma function which represents, for different values of mu , zones of different natures of the image. Said modelling method can be used, in particular, for classification and noise reduction purposes.
机译:本发明涉及一种对由像素组成的数字图像进行建模的方法。使用参数alpha ij ,mu 1和mu 2的值定义具有坐标i,j的每个像素,这些参数表示在确定的邻域内的辐射度直方图Hvij,每个像素的大小均相同像素,以混合形式表示:Hvij = alpha ij.G(?1ij,L)+(1- alpha ij).G(?2ij,L),其中:alpha是具有两条定律G; L是根据视图数选择的正数; mu 1和mu 2表示要详细说明的参数; G表示伽玛函数,对于mu的不同值,它代表图像不同性质的区域。所述建模方法尤其可以用于分类和降低噪声的目的。

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