Description: Gabor-function convolution masks are increasingly used in image processing and computer vision. This function simply computes the cosine and sine masks for a given width, period and orientation. The masks returned are properly normalised.
It is not highly optimised - e.g. the symmetries are not used to reduce the computation.
It is recommended that convolutions with these masks are done using CONVOLVE2 (available from Matlab File Exchange) to take advantage of their low rank.
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Author:li |
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Description: Description: Recent studies on Mathematical modeling of visual cortical cells [Kulikowski/Marcelja/Bishop:1982] suggest a tuned band pass filter bank structure. These filters are found to have Gaussian transfer functions in the frequency domain. Thus, taking the Inverse Fourier Transform of this transfer function we get a filter characteristics closely resembling to the Gabor filters. The Gabor filter is basically a Gaussian (with variances sx and sy along x and y-axes respectively) modulated by a complex sinusoid (with centre frequencies U and V along x and y-axes respectively). Platform: |
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Author:gz |
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Description: 这是一个时频分析中关于gabor变换的程序，此程序分离频率的效果不错。
Gabor变换：
式中a，b为常数，a代表栅格的时间长度，b代表栅格的频率长度
式中的 是一维信号x(t)的展开系数，h(t)是一母函数，展开
基函数是h(t)由作移位和调制生成的，
- This in a time frequency analysis about the gabor
transformation procedure, this procedure separation frequency effect
is good. Gabor transformation: In the formula a, b is the constant, a
represents the grid the time length, b on behalf of the grid frequency
length in the formula is the unidimensional signal x (t) launches the
coefficient, h (t) is a female function, launches the primary function
is h (t) by makes shifting and the modulation production, Platform: |
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Author:lynyan |
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Description: Gabor-function convolution masks are increasingly used in image processing and computer vision. This function simply computes the cosine and sine masks for a given width, period and orientation. The masks returned are properly normalised.
It is not highly optimised - e.g. the symmetries are not used to reduce the computation.
It is recommended that convolutions with these masks are done using CONVOLVE2 (available from Matlab File Exchange) to take advantage of their low rank.
-Gabor-function convolution masks are increasingly used in image processing and computer vision. This function simply computes the cosine and sine masks for a given width, period and orientation. The masks returned are properly normalised.
It is not highly optimised- e.g. the symmetries are not used to reduce the computation.
It is recommended that convolutions with these masks are done using CONVOLVE2 (available from Matlab File Exchange) to take advantage of their low rank.
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Author:li |
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Description: 2008最新matlab时频分析中用到的几乎所有函数的源代码及其基本用法。如调幅调频函数及其用法，常用噪声产生函数，尺度变换函数，信号时域和频域处理函数，cohen类双线性时频处理函数用法等等，希望对大家有帮助!-2008, the latest time-frequency analysis matlab used in almost all the function Platform: |
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Author:阿华 |
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Description: 计算Gabor滤波器函数.
Gabor1.m:4个方向的Gabo滤波器模板的图像显示.
Gabor2.m:4个方向的Gabor滤波器对lena进行滤波的顶层调用模块.
gabor.m:绘制一个Gabor滤波器的空域和频域函数图.
compute.m:计算Gabor滤波器函数（要被上面3个模块调用，这3个模块彼此独立）-Gabor filter function calculation. Gabor1.m: 4 directions Gabo filter template image display. Gabor2.m: 4 directions of the Gabor filter for filtering lena call top-level module. Gabor.m: Drawing of a Gabor filter browser s airspace and frequency domain function Fig. compute.m: Calculation of Gabor filter function (to be above three modules call, this three modules independent of each other) Platform: |
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Author:赵立桐 |
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Description: Gabor 滤波器工具箱，包括各种Gabor滤波器的函数，可用于图像滤波处理，特征提取，如人脸，掌纹，指纹识别等。-Gabor filter toolbox, including Gabor filter function, can be used for image filtering processing, feature extraction, such as human faces, palm prints, such as fingerprint recognition. Platform: |
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Author:陈浩 |
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Description: gabor_function1该程序对Gabor核函数某个尺度和方位的三维形状和二维平面图像进行显示
gabor_function2该程序对Gabor核函数五个尺度和八个方位的二维平面图像进行显示，共产生40个二维平面图像
这两个程序对理解gabor小波很有帮助哦-gabor_function1 the program of Gabor kernel function of a scale and orientation of the three-dimensional shape and two-dimensional images show that the program gabor_function2 of Gabor kernel five scales and eight-directional two-dimensional images show that a total of 40 have a two-dimensional Planar images of these two procedures useful in understanding the gabor wavelet Oh Platform: |
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Author:吴海峰 |
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Description: 通过高斯函数导数检测图像边缘，实质是方向可调小波变换检测图像边缘（8个方向变换）。-Gaussian function through derivative edge detection in real terms is adjustable direction edge detection wavelet transform (change the direction of 8). Platform: |
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Author:qht |
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Description: 在MATLAB环境下 ，通过编程，实现gabor滤波器的功能，第一次上传代码，以后会陆续穿上，希望对大家有用-In the MATLAB environment, through programming, gabor filter function, the first upload code will continue to put on after, we want to be useful Platform: |
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Author:hu yuanchao |
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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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Author:Real1 |
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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)) Platform: |
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Author:郑碧波 |
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Description: 利用Gabor滤波器提取图像纹理特征，用于图像分类模式识别-Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV. Platform: |
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Author:Ethan |
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Description: 这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述：
[1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双
波基和Gabor变换，“对信号的IEEE交易
加工，第一卷。 57，没有。 9，3411-3425，2009年9月。
作者：K.N.乔杜里。
模块如下：
---------------------------
1。 demo.m
一个简单的例子演示软件的使用。
2。 autcorr.m
计算自相关函数的频率响应。
3。 filters.m
计算尺度和小波滤波器。
4。 projectionFilters.m
到近似计算的投影最小二乘过滤器
空间。
5。 analysis.m
计算复杂的小波子在不同的分辨率。
6。 synthesis.m
从低通逼近和重构原始信号
小波系数。
7。 displayResults.m
显示输入信号，真实，小波虚componenets
子带，在每一项决议和其modlus和相位，也是
重建信号和错误的。
8。 exception.m-This MATLAB package implements the Gabior-like wavelet transform in 1-dimension as described in the paper:
[1] K.N. Chaudhury, M. Unser, "Construction of Hilbert Transform Pairs of
Wavelet Bases and Gabor-Like Transforms," IEEE Transactions on Signal
Processing, vol. 57, no. 9, pp. 3411-3425, September 2009.
Author: K.N. Chaudhury.
The modules are as follows:
---------------------------
1. demo.m
Demonstrates the usage of the software with a simple example.
2. autcorr.m
Computes the frequency response of the autocorrelation function.
3. filters.m
Computes the scaling and wavelet filters.
4. projectionFilters.m
Computes the filters for the least-squares projection onto the approximation
spaces.
5. analysis.m
Computes the complex wavelet subbands at different resolutions.
6. synthesis.m
Reconstructs the original signal from the lowpass approximation and the
wavelet coefficients.
7. displayResults.m
Disp Platform: |
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Author:崔花婷 |
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