新颖的CB形态学串并复合散斑噪声滤波器

基于轮廓结构元素形态学(CB形态学)和广义多结构元素的数学形态学,构造了一种新颖的用于抑制图像中的散斑噪声的串并复合滤波器.首先采用全方位多结构元素的广义多刻度形态开最大滤波器与广义多刻度形态闭最小滤波器相并联的滤波器进行滤波,力求在滤波的同时图像几何细节损失尽可能少,然后通过级联的CB开和CB闭滤波器,再滤除剩余的斑点噪声,从而在有效抑制图像中的散斑噪声的同时更好地保持了图像的细节信息.分析和仿真表明了本文提出的滤波算法的有效性.

Novel CB Morphological Series-parallel Complex Filter for Suppressing Speckle Noise

Based on Contour Bougie morphology (CB morphology) and generalized multiple structuring elements morphology,a novel series-parallel complex morphological filter was constructed for suppressing the speckle noise in images.Firstly,an omnidirectional multiple structuring element morphology open-Max and close-Min parallel filter was adopted to filter the noise at the cost of minimal loss of image geometrical details,and then a CB morphology open and close operation series filter was used to filter the remaining speckle noise.Thus,it can not only effectively suppress the speckle noise in images but also preserve more geometrical structure features of the images.The results of analysis and simulation prove that the algorithm presented in the paper is efficient.