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Description: Gabor Transformation based on a Exocortex dsp d
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Size: 13828 |
Author: tuzhiguo |
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Description: 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)
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Size: 12434 |
Author: wan_xianglin |
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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
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Size: 842 |
Author: wuwenshuai |
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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: The scene contains the following features
a) Mirror effect
b) An own stencil lighting effect
c) Mesh and camera loader
d) Bezier spline camera
e) Tunnel
f) Blending (Fade effect - color/picture, tunnel)-The scene contains the following features
a) Mirror effect
b) An own stencil lighting effect
c) Mesh and camera loader
d) Bezier spline camera
e) Tunnel
f) Blending (Fade effect- color/picture, tunnel)
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Size: 2551808 |
Author: pily |
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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: gabor滤波器，可以用来特征提取，帮助大家-gabor filters, feature extraction can be used to help you
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Size: 186368 |
Author: michael |
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Description: two dimentional gabor filter
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Size: 2048 |
Author: vahid riazi |
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Description: This pdf file is about gabor deconvolution.
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Size: 291840 |
Author: amir |
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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: 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))
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Author: 郑碧波 |
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Description: 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.
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Size: 1024 |
Author: alex |
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Description: 对具高噪声和低对比度三维图像的识别和分割算法进行了研究。基于活动轮廓模型,用Gabor变换提取图像的纹理特征,根据统计学信息假设,通过偏微分方程水平集和窄带方法求解,获得较基本活动轮廓的算法分割更光滑精确的物体轮廓-To a high noise and low contrast 3 d image recognition and segmentation algorithm was studied. Based on the active contour model, with Gabor transform to extract image texture feature, according to the statistics information hypothesis, through the partial differential equation of the level set and narrow band method, get a basic active contour algorithm segmentation more smooth accurate object contour
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Size: 530432 |
Author: 张钰倩 |
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Description: It is a Document for d project of Object Recognition using Gabor Filter
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Size: 399360 |
Author: phanimatlab |
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Description: 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.
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Size: 167936 |
Author: 段绍丽 |
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Description: 用平面波展开法计算二维声子晶体带隙,关于非线性离散系统辨识，Gabor小波变换与PCA的人脸识别代码。- Computation Method D phononic bandgap plane wave, Nonlinear discrete system identification, Gabor wavelet transform and PCA face recognition code.
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Size: 6144 |
Author: qeng |
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Description: 用平面波展开法计算二维声子晶体带隙,Gabor小波变换与PCA的人脸识别代码，Matlab实现界面友好。- Computation Method D phononic bandgap plane wave, Gabor wavelet transform and PCA face recognition code, Matlab to achieve user-friendly.
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Size: 7168 |
Author: 丁明海 |
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Description: 自己设计的二维Gabor滤波器，带详细的运用参数设置说明，可用于Gabor滤波和对比度调制。-D Gabor filters of their own design, with a detailed description of the use of parameter settings available for Gabor filtering and contrast modulation.
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Size: 2048 |
Author: luo su |
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Description: Gabor小波变换与PCA的人脸识别代码，基于K均值的PSO聚类算法,用平面波展开法计算二维声子晶体带隙。- Gabor wavelet transform and PCA face recognition code, K-means clustering algorithm based on the PSO, Computation Method D phononic bandgap plane wave.
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Size: 7168 |
Author: kaihunfan |
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Description: 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.
%
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Size: 90112 |
Author: arzehgar
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