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Description: 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
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Size: 1298 |
Author: 石峰 |
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Description: 虹膜识别中的特征提取算法：2D-Gabor滤波器算法，将归一化的虹膜图像由此滤波器滤波，可以得到二进制的特征编码。附图片。
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Size: 958331 |
Author: galaft |
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Description: 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial and several other data sets function regression and forecasting
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Size: 1483776 |
Author: 张毅 |
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Description: 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
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Size: 1024 |
Author: 石峰 |
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Description: 虹膜识别中的特征提取算法：2D-Gabor滤波器算法，将归一化的虹膜图像由此滤波器滤波，可以得到二进制的特征编码。附图片。-Iris recognition in the feature extraction algorithm: 2D-Gabor filter algorithm, the normalized iris image resulting filter can be obtained characteristics of the binary encoding. Attached picture.
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Size: 958464 |
Author: galaft |
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Description: 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
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Size: 1024 |
Author: wuwenshuai |
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Description: Source code for 2D Gabor filter
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Size: 2048 |
Author: mohsn |
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Description: these codes read input image and generate the 2D gabor filters, with changeable scale, orientation, perform the convolution with input image.
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Size: 1024 |
Author: gayatri_mirajkar |
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Description: 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.-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.
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Size: 72704 |
Author: rajat singh |
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Description: 2d gabor 可以运行，了解gabor-2d gabor
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Size: 4096 |
Author: suxin |
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Description: This function produces a numerical approximation to 2D Gabor function
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Size: 1024 |
Author: mario |
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Description: Example of a two-dimensional Gabor filterIn image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection. Frequency and orientation representations of Gabor filter are similar to those of human visual system, and it has been found to be particularly appropriate for texture representation and discrimination. In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave. The Gabor filters are self-similar – all filters can be generated from one mother wavelet by dilation and rotation
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Size: 7168 |
Author: Real1 |
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Description: 2D-LAD demensionality reduction matlab-2D-LAD demensionality reduction matlab
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Size: 2807808 |
Author: Tom |
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Description: 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
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Size: 6144 |
Author: namind |
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Description: The aim of the project was to propose a method for reliable detection and extraction of
facial features in two and three dimensions.
Several 2D methods were attempted – edge detection, intensity scanning, and Gabor
transform. The Gabor transform method included much filtering. The edge detection and
intensity scanning methods were largely unreliable. The Gabor transform method was
highly reliable under controlled conditions, and about 60 reliable under uncontrolled
conditions, when it was tested on the Yale Database.
3D methods were attempted, but were never successfully implemented.
The 2D aim was largely met by the Gabor transform method.
The aim was not fulfilled in 3D.
The aim in terms of extraction was fulfilled by an anthropometrical method based on the
work of Kwok-Wai Wong et al.
3-The aim of the project was to propose a method for reliable detection and extraction of
facial features in two and three dimensions.
Several 2D methods were attempted – edge detection, intensity scanning, and Gabor
transform. The Gabor transform method included much filtering. The edge detection and
intensity scanning methods were largely unreliable. The Gabor transform method was
highly reliable under controlled conditions, and about 60 reliable under uncontrolled
conditions, when it was tested on the Yale Database.
3D methods were attempted, but were never successfully implemented.
The 2D aim was largely met by the Gabor transform method.
The aim was not fulfilled in 3D.
The aim in terms of extraction was fulfilled by an anthropometrical method based on the
work of Kwok-Wai Wong et al.
3
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Size: 910336 |
Author: brahmia djaber |
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Description: 2 functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters.
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Size: 6144 |
Author: barbs |
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Description: 2D-Gabor变换的Matlab实现代码-Codes of Matlab for 2D-Gabor transform
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Size: 2048 |
Author: Cruise |
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Description: 掌纹识别预处理特征提取和算法的研究，网上借鉴的-palmprint recognition。to design 2d gabor filter and apply it to image....we get a filter characteristics closely resembling to the gabor filters. the gabor filter is basically a gaussian
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Size: 31744 |
Author: 刘珊 |
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Description: 2维曲面拟合，gauss or gabor 函数-Functions to fit a 2D Gaussian or 2D Gabor to a surface. The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. This is done by evaluating the quality of fit (sum of squared error) for many different choices of parameters then refining the most promising set of params through least-squares (exhaustive search followed by refinement). Least-squares is statistically equivalent to maximum likelihood estimation of the model parameters on the assumption of independent, normally distributed Gaussian noise in the observations (pixels).
autoGaussianSurf(xi,yi,zi) fits a Gaussian,
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Size: 8192 |
Author: 张信雨 |
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Description: 2d and 3d gabor filter used to extract some features of image/video for the quality assessment method
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Size: 4096 |
Author: tombizzz
|
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