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Mexican hat wavelet
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Mexican hat wavelet : ウィキペディア英語版
Mexican hat wavelet

In mathematics and numerical analysis, the Ricker wavelet〔http://74.3.176.63/publications/recorder/1994/09sep/sep94-choice-of-wavelets.pdf〕
:\psi(t) = }} \left( 1 - \right) e^
is the negative normalized second derivative of a Gaussian function, i.e., up to scale and normalization, the second Hermite function. It is a special case of the family of continuous wavelets (wavelets used in a continuous wavelet transform) known as Hermitian wavelets. The Ricker wavelet is frequently employed to model seismic data, and as a broad spectrum source term in computational electrodynamics. It is usually only referred to as the Mexican hat wavelet in the Americas, due to taking the shape of a sombrero when used as a 2D image processing kernel. It is also known as the Marr wavelet for David Marr.〔http://www2.isye.gatech.edu/~brani/isyebayes/bank/handout20.pdf〕〔http://cxc.harvard.edu/ciao/download/doc/detect_manual/wav_theory.html#wav_theory_mh〕
:
\psi(x,y) = -\frac\left(1-\frac\right) \mathrm^.

The multidimensional generalization of this wavelet is called the ''Laplacian of Gaussian'' function. In practice, this wavelet is sometimes approximated by the ''difference of Gaussians'' function, because it is separable〔(【引用サイトリンク】title=Spatial Filters - Gaussian Smoothing )〕 and can therefore save considerable computation time in two or more dimensions. The scale normalised Laplacian (in L_1-norm) is frequently used as a blob detector and for automatic scale selection in computer vision applications; see Laplacian of Gaussian and scale space. The relation between this Laplacian of the Gaussian operator and the difference-of-Gaussians operator is explained in appendix A in Lindeberg (2015).〔(Lindeberg (2015) ``Image matching using generalized scale-space interest points", Journal of Mathematical Imaging and Vision, volume 52, number 1, pages 3-36, 2015. )〕 The Mexican hat wavelet can also be approximated by derivatives of Cardinal B-Splines〔Brinks R: ''On the convergence of derivatives of B-splines to derivatives of the Gaussian function'', Comp. Appl. Math., 27, 1, 2008〕
==References==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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