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Morphological Bilateral Filtering and Spatially-Variant Adaptive Structuring Functions

机译:形态学双边过滤和空间变异自适应结构函数

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Development of spatially-variant filtering is well established in the theory and practice of Gaussian filtering. The aim of the paper is to study how to generalize these linear approaches in order to introduce adaptive nonlinear filters which asymptotically correspond to spatially-variant morphological dilation and erosion. In particular, starting from the bilateral filtering framework and using the notion counter-harmonic mean, our goal is to propose a new low complexity approach to define spatially-variant bilateral structuring functions. Then, the adaptive structuring elements are obtained by thresholding the bilateral structuring functions. The methodological results of the paper are illustrated with various comparative examples.
机译:在高斯滤波的理论和实践中已经很好地建立了空间变量滤波的发展。本文的目的是研究如何概括这些线性方法,以引入自适应非线性滤波器,这些滤波器渐近地对应于空间变异的形态学扩张和侵蚀。特别是,从双边过滤框架开始,并使用反谐波均值概念,我们的目标是提出一种新的低复杂度方法,以定义空间变异的双边结构函数。然后,通过对双边结构函数进行阈值化来获得自适应结构元素。本文的方法论结果通过各种比较例进行了说明。

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