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Bi-dimensional Gabor filter with DC component compensation This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation: G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)), where: Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2)) Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P))) DC(F,S,P)=exp(-pi*(F/S)^2+j*P) File Id: 13776 Average rating: 0.0 Size: 1 KB # of reviews: 0 Submitted: 2007-01-26 Downloads: 274 Subscribers: 0 Keywords: gabor filter Stiven Schwanz Dias -Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k * Gaussian (x, y, S) * (Sinusoid (x, y, F, W, P) - DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi * S * 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j * (2 * pi * F * (x * cos (W) y * sin (W)) P))) D C (F, S, P) = exp (-pi * (F / S) ^ 2 * P j) File Id : 13776 Average rating : 0.0 Size : # 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias
Update : 2008-10-13 Size : 1.27kb Publisher : 石峰

二维gabor的源代码,其中有gabor的实部和虚部的实现
Update : 2008-10-13 Size : 842byte Publisher : wuwenshuai

Gabor Transformation based on a Exocortex dsp d
Update : 2025-02-19 Size : 13kb Publisher : tuzhiguo

Bi-dimensional Gabor filter with DC component compensation This version of the 2D Gabor filter is basically a bi-dimensional Gaussian function centered at origin (0,0) with variance S modulated by a complex sinusoid with polar frequency (F,W) and phase P described by the following equation: G(x,y,S,F,W,P)=k*Gaussian(x,y,S)*(Sinusoid(x,y,F,W,P)-DC(F,S,P)), where: Gaussian(x,y,S)=exp(-pi*S^2*(x^2+y^2)) Sinusoid(x,y,F,W,P)=exp(j*(2*pi*F*(x*cos(W)+y*sin(W))+P))) DC(F,S,P)=exp(-pi*(F/S)^2+j*P) File Id: 13776 Average rating: 0.0 Size: 1 KB # of reviews: 0 Submitted: 2007-01-26 Downloads: 274 Subscribers: 0 Keywords: gabor filter Stiven Schwanz Dias -Bi-dimensional Gabor filter with DC compo .. compensation This version of the 2D Gabor f ilter is basically a bi-dimensional Gaussian f unction centered at origin (0, 0) with variance S modulated by a complex sinuso id with polar frequency (F, W) and phase P described by the following equati on : G (x, y, S, F, W, P) = k* Gaussian (x, y, S)* (Sinusoid (x, y, F, W, P)- DC (F, S, P)), where : Gaussian (x, y, S) = exp (-pi* S* 2 ^ (x ^ 2 y ^ 2)) Sinusoid (x, y, F, W, P) = exp (j* (2* pi* F* (x* cos (W) y* sin (W)) P))) D C (F, S, P) = exp (-pi* (F/S) ^ 2* P j) File Id : 13776 Average rating : 0.0 Size :# 1 KB of reviews : 0 Submitted : 2007-01-26 Downloads : 274 Subscribers : 0 Keywords : gabor filter Stiven Schwanz Dias
Update : 2025-02-19 Size : 1kb Publisher : 石峰

This file include some image process program: void ImResize(IMAGEDATA *pRtImg, IMAGEDATA *pSrImg, int nFixSize) bool CalMoments(float Moments[7], IMAGEDATA *pSrImg) void RGB2Gray(IMAGEDATA *pRtImg, IMAGEDATA *pSrImg) void Im2Bw(IMAGEDATA *pRtImg, IMAGEDATA *pSrImg) float Graythresh(IMAGEDATA *pImgData) void MomentInvar(double Moments[7], IMAGEDATA *ret) bool CalGabor(float Gabor[32], IMAGEDATA *pSrImg) void TexGabor(float Gabor1[MM*NN],float Gabor2[MM*NN],IMAGEDATA *przImg) int FloatSearch(MATRIX *pData, int *nLabels, int d, int delta, int r, TSubset *bset) -This file include some image process program: void ImResize(IMAGEDATA*pRtImg, IMAGEDATA*pSrImg, int nFixSize) bool CalMoments(float Moments[7], IMAGEDATA*pSrImg) void RGB2Gray(IMAGEDATA*pRtImg, IMAGEDATA*pSrImg) void Im2Bw(IMAGEDATA*pRtImg, IMAGEDATA*pSrImg) float Graythresh(IMAGEDATA*pImgData) void MomentInvar(double Moments[7], IMAGEDATA*ret) bool CalGabor(float Gabor[32], IMAGEDATA*pSrImg) void TexGabor(float Gabor1[MM*NN],float Gabor2[MM*NN],IMAGEDATA*przImg) int FloatSearch(MATRIX*pData, int*nLabels, int d, int delta, int r, TSubset*bset)
Update : 2025-02-19 Size : 12kb Publisher : wan_xianglin

DL : 0
二维gabor的源代码,其中有gabor的实部和虚部的实现-The source code of two-dimensional gabor, gabor which has the real and imaginary parts of the realization of
Update : 2025-02-19 Size : 1kb Publisher : wuwenshuai

two dimentional gabor filter
Update : 2025-02-19 Size : 2kb Publisher : vahid riazi

CONVOLVE2可以用于任何CONV2使用,采取同样的参数并返回一个小的公差范围内同样结果。加速计算是通过使用面膜中的奇异值分解,表示为外产品总结一下。这些都可以有效地计算与行和列向量的卷积。 CONV2是用来从事这项运动。 可分面具是一个特殊情况,并受CONVOLVE2处理多达FILTER2一样。许多不属于其他口罩可分低等级(如Gabor函数口罩),并更有效地处理CONVOLVE2。 该功能也将计算出降秩逼近一个给定的面具如果需要的话,将使用此是否会加速计算。一个额外的参数允许在错误控制。 附加形状选项允许:(一)2 - D“的通知“执行卷积- 也就是说,输入数组被视为周期,而不是零包围 (二)一个“反思“的边界条件- 那就是,输入数组被视为体现了自身的副本包围。 看到 计算机和机器人视觉 第一卷,由R.M. Haralick和L.G.夏皮罗(Addison - Wesley出版1992年),第298-299 -CONVOLVE2 can be used wherever CONV2 is used, taking the same arguments and returning the same results to within a small tolerance. The computation is speeded up by using the singular value decomposition of the mask to express it as a sum of outer products. Each of these can be computed efficiently as convolution with a row and a column vector. CONV2 is used to carry this out. Separable masks are a particular case and are handled by CONVOLVE2 much as FILTER2 does. Many other masks which are not separable have low rank (e.g. Gabor function masks) and are handled more efficiently by CONVOLVE2. The function will also compute a reduced-rank approximation to a given mask if required and will use this if it will speed up the computation. An extra argument allows control over the error. Additional shape options allow: (a) 2-D "circular" convolution to be performed- that is, the input array is taken to be periodic rather than surrounded by zeros (b) a "reflection" boundary c
Update : 2025-02-19 Size : 6kb Publisher : namind

Gabor滤波器经常被用于形状检测和特征提取,比如增强指纹图像。本代码用matlab实现了一个二维Gabor滤波器。 代码使用如下: function [G,gabout] = gaborfilter1(I,Sx,Sy,f,theta) from gaborfilter1 with different f(Frequency) and theta(Angle). for example f:0,2,4,8,16,32 theta = 0,pi/3,pi/6,pi/2,3pi/4 then for any input image like(eg. stereo.jpg) you have 6x5 = 30 filtered images. You can choose your desired angles or frequencies. You can put nominaly Sx & Sy = 2,4 or some one else. For instance I tested above example on ( cameraman.tif )(in MATLAB pictures) I = imread( cameraman.tif ) [G,gabout] = gaborfilter1(I,2,4,16,pi/3) figure,imshow(uint8(gabout)) -Gabor filters are often used for shape detection and feature extraction, such as the enhanced fingerprint image. Matlab implementation of the code is a two-dimensional Gabor filter. Use the following code: function [G, gabout] = gaborfilter1 (I, Sx, Sy, f, theta) from ' gaborfilter1' with different f (Frequency) and theta (Angle). For example f: 0,2,4, 8,16,32 theta = 0, pi/3, pi/6, pi/2,3 pi/4 then for any input image like (eg. stereo.jpg) you have 6x5 = 30 filtered images. You can choose your desired angles or frequencies. You can put nominaly Sx & Sy = 2,4 or some one else. For instance I tested above example on (' cameraman.tif' ) (in MATLAB pictures) I = imread (' cameraman.tif' ) [G, gabout] = gaborfilter1 (I, 2,4,16, pi/3) figure, imshow (uint8 (gabout))
Update : 2025-02-19 Size : 1kb Publisher : 郑碧波

一个2维的Gabor滤波器代码,希望对大家有所帮助-a 2-D gabor filter code,I hope it helpfull for other people.
Update : 2025-02-19 Size : 1kb Publisher : alex

DL : 0
Le filtre de Gabor applique une fonction qui est une sinusoï de modulée par une fonction gaussienne. Il a en traitement d’image une fonction de détection de contours (ou de traits). Ce plugin prend en paramètre: la longueur d’onde (en pixel), et l’orientation (en degrés). Il utilise aussi une enveloppe.
Update : 2025-02-19 Size : 1kb Publisher : ghoul_khaled

利用MATLAB编程实现具有多种方向和频率选择性的Gabor滤波器,绘制一维、二维、三维空域和频域图形,讨论Gabor滤波器在方向和频率上的选择特性。-Using MATLAB programming with multiple direction and frequency selective Gabor filter, draw a d, 2 d, 3 d graphics, airspace and frequency domain to discuss Gabor filter on the choice of direction and frequency characteristics.
Update : 2025-02-19 Size : 164kb Publisher : 段绍丽

DL : 0
是信号处理的基础,旋转机械二维全息谱计算,Gabor小波变换与PCA的人脸识别代码。- Is the basis of the signal processing, Rotating machinery 2-d holographic spectrum calculation, Gabor wavelet transform and PCA face recognition code.
Update : 2025-02-19 Size : 7kb Publisher : 何建

GABORFILTERBANK generates a custum Gabor filter bank. % It creates a u by v cell array, whose elements are m by n matrices; % each matrix being a 2-D Gabor filter. %
Update : 2025-02-19 Size : 88kb Publisher : arzehgar

Complex of three-point Gauss-lengend the Formula pi, Gabor wavelet transform and PCA face recognition code, Rotating machinery 2-d holographic spectrum calculation.
Update : 2025-02-19 Size : 40kb Publisher : 王海1
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