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PARABOLIC NONLINEAR LAPLACIAN: MORPHOLOGICAL COUNTERPART OF LAPLACIAN OF GAUSSIAN

机译:抛物线型非线性拉普拉斯算子:高斯拉普拉斯算子的形态反演

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摘要

The Laplacian of Gaussian (LoG) is the second spatial derivative of an image that has first been smoothed with a Gaussian kernel.The LoG is a simple but very useful transformation for edge detection and feature extraction.In the classical literature of mathematical morphology,the morphological Laplacian is exclusively defined for flat operators as the difference between the gradient by dilation and the gradient by erosion.Using the counter-harmonic paradigm as a nonlinearization framework,the aim of this paper is to propose the morphological counterpart of the LoG,named the parabolic nonlinear laplacian (NLoG) and to study its behaviour with respect to the linear LoG.We show that the NLoG involves derivatives of dilation and erosion using a particular pair of nonflat structuring functions.
机译:高斯的拉普拉斯算子(LoG)是图像的第二个空间导数,该图像首先使用高斯核进行了平滑处理。LoG是一种简单但非常有用的变换,用于边缘检测和特征提取。在数学数学形态学的经典文献中,形态拉普拉斯算子是专门为平面算子定义的,即通过扩张的梯度和通过侵蚀的梯度之间的差。使用反谐波范式作为非线性化框架,本文的目的是提出LoG的形态对应物,命名为LoG。抛物线非线性拉普拉斯算子(NLoG)并研究其相对于线性LoG的行为。

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