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PARABOLIC NONLINEAR LAPLACIAN: MORPHOLOGICAL COUNTERPART OF LAPLACIAN OF GAUSSIAN

机译:抛物线非线性拉普拉斯:高斯拉普拉斯的形态对应

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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(日志)的拉普拉斯是第一次用高斯内核平滑的图像的第二空间导数。日志是边缘检测和特征提取的简单但非常有用的转换。在数学形态学的古典文献中,形态学拉普拉斯专门定义为扁平运营商作为梯度与梯度之间的渐变和渐变通过侵蚀的差异。对抗谐波范例作为非线化框架,本文的目的是提出日志的形态对应物,命名为抛物线非线性拉普拉斯(NLOG)和研究其关于线性原木的行为。我们涉及使用特定的非污垢结构功能的扩张和侵蚀的衍生物。

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