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EDGE-PRESERVING ENHANCEMENT OF SEISMIC IMAGES BY NONLINEAR ANISOTROPIC DIFFUSION

机译:非线性各向异性扩散对地震图像的保留边缘的增强

摘要

rocessing a seismic image comprising the steps of(a) obtaining a two or threedimensional initial image data set, wherein each element u(m=0) of the dataset is the initial image intensity of a point of the image;(b) calculating foreach point the partial derivatives of u(m) in n directions to obtain nderivative data sets of the partial derivatives uxi; (c) calculating for eachpoint a symmetric nxn structural matrix S, wherein the elements spq equaluxp.uxq, and an nxn diffusion matrix D, wherein the elements dij are afunction of the elements spq; (d) calculating for each point u(m+1) from u(m)using the following equation u(m+1)=u(m)+c.div(.epsilon..Dgrad(u(m))), whereinc is a predetermined constant, 0=c=1, and wherein .epsilon. is a scalar,0=.epsilon.=, wherein .epsilon. is close to zero when near an edge and closeto 1 when far away from an edge (10, 11, 12, 14, 15); and(e) repeating steps(b) through (e) M times to obtain the processed image.
机译:处理地震图像,包括以下步骤:(a)获得两个或三个维初始图像数据集,其中数据的每个元素u(m = 0)set是图像点的初始图像强度;(b)计算每个点在n个方向上u(m)的偏导数以获得n偏导数uxi的导数数据集; (c)计算每个指向一个对称的nxn结构矩阵S,其中元素spq等于uxp.uxq和nxn扩散矩阵D,其中元素dij是元素spq的功能; (d)从u(m)计算每个点u(m + 1)使用以下方程式u(m + 1)= u(m)+ c.div(.epsilon..Dgrad(u(m))),其中c是预定常数,0 <= c <= 1,并且其中ε。是标量,0 <=ε<=,其中ε。当靠近边缘并关闭时接近零远离边缘时为1(10、11、12、14、15);和(e)重复步骤(b)至(e)M次以获得处理后的图像。

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