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Morphological Bilateral Filtering and Spatially-Variant Adaptive Structuring Functions

机译:形态双侧过滤和空间变体自适应结构功能

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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,空间变体过滤的发展是很好的,高斯滤波的理论和实践。本文的目的是研究如何概括这些线性方法,以便引入渐近对应于空间变体形态扩张和侵蚀的自适应非线性过滤器。特别是,从双边过滤框架开始并使用概念反谐均值,我们的目标是提出一种新的低复杂性方法来定义空间 - 变体的双边结构化功能。然后,通过阈值平衡的双边结构化功能获得自适应结构元件。本文的方法论结果用各种比较例说明。

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