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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）
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Size: 1589 |
Author: 赵立桐 |
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Description: 使用步骤：
1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱)
2. 找到"main.m"文件
3. 命令行中运行它
4. 点击"Train Network"，等待程序训练好样本
5. 点击"Test on Photos"，选择一个.jpg图片，识别。
6. 等待程序检测出人脸区域
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Size: 18735776 |
Author: wdbjiutian |
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Description: Version : 5.0 (New Version)
1- copy all files and directories to the MATLAB's work folder
* In order to run the program you must have Image Processing and Neural Networks Toolboxes
2- find the file named "main.m"
3- Double click on this file or type "main" in the command window
4- a menu will be shown . click on "Train Network" and wait until the program is done with the training
5- click on "Test on Photos". A dialog box will be appeared. Select a .jpg photo
6- Wait until the program detects some
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Size: 1003517 |
Author: tyc5689123 |
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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)
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Size: 1024 |
Author: 赵立桐 |
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Description: 图象gabor变换的matlab代码，含有3种gabor变换的代码-Image gabor transform matlab code, contains three kinds of gabor transform code
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Size: 3072 |
Author: wanxl_xjtu |
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Description: gabor filter programing in matlab, 3 ways of gabor filter
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Size: 14336 |
Author: Jazzy |
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Description: 3种Gabor滤波器的表达方法，采用MATLAB编写，可用于人脸的识别-Gabor filters of three kinds of expression, the use of MATLAB to prepare, can be used for face recognition
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Size: 2048 |
Author: xzg |
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Description: Gabor小波，用于纹理提取，程序中所使用的方位和比例等参数是可以动态调整的-The orientation and scale can be changed in this program to extract texture information.Here 3 scales and 4 orientation was used
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Size: 1024 |
Author: wingor2009 |
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Description: FSVM在人眼状态识别中的应用,一种结合gabor滤波和模糊支持向量机进行人眼状态检测的方案-FSVM in the human eye pattern recognition application, a combination of gabor filtering and fuzzy support vector machine is the human eye state inspection programs to
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Size: 158720 |
Author: 铁军 |
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Description: Gabor wavelet filter for texture extraction，-The orientation and scale can be changed in this program to extract texture information.Here 3 scales and 4 orientation was used
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Size: 87040 |
Author: 张宇 |
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Description: 这是一个完整的指纹识别程序，它包括了直方图均衡，Gabor滤波图像增强，方向图过滤，纹理细化，特征提取及特征匹配。其中，特征匹配包含了3种匹配方法，另外还附有PPT，非常值得研究。-This is a complete fingerprint recognition program, which includes the histogram equalization, Gabor filter image enhancement, pattern filtering, texturing, thinning, feature extraction and feature matching. Among them, feature matching contains three kinds of matching methods, in addition with PPT, is worth studying.
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Size: 5446656 |
Author: conroy cheung |
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Description:
这是一个完整的指纹识别程序，它包括了直方图均衡，Gabor滤波图像增强，方向图过滤，纹理细化，特征提取及特征匹配。其中，特征匹配包含了3种匹配方法，另外还附有PPT，非常值得研究。-Finger Identification
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Size: 5111808 |
Author: 王华 |
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Description: 指纹识别程序：
包括了直方图均衡，Gabor滤波图像增强，方向图过滤，纹理细化，特征提取及特征匹配。其中，特征匹配包含了3种匹配方法，另外还附有PPT，非常值得研究。-Fingerprint identification procedures: including histogram equalization, Gabor filter, image enhancement, pattern filtering, texture refinement, feature extraction and feature matching. Among them, the feature matching method includes three kinds of match, also with a PPT, is worth studying.
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Size: 5445632 |
Author: 陈亨利 |
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Description: 这是一个完整的指纹识别程序，它包括了直方图均衡，Gabor滤波图像增强，方向图过滤，纹理细化，特征提取及特征匹配。其中，特征匹配包含了3种匹配方法，另外还附有PPT，非常值得研究。-This is a complete fingerprint recognition program, which includes the histogram equalization, Gabor filter image enhancement, pattern filtering, texturing, thinning, feature extraction and feature matching. Among them, the feature matching includes matching 3, also with a PPT, is worth studying.
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Size: 5449728 |
Author: 木易 |
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Description: 这是一个使用了Gabor特征提取和人工智能的人脸检测系统源代码
使用步骤：
1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱)
2. 找到"main.m"文件
3. 命令行中运行它
4. 点击"Train Network"，等待程序训练好样本
5. 点击"Test on Photos"，选择一个.jpg图片，识别。
6. 等待程序检测出人脸区域
createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m-This is a use of the Gabor feature extraction and artificial intelligence source code of face detection system using the steps: 1. Copy all files to the MATLAB working directory (sure you have installed the Image Processing Toolbox, and artificial intelligence toolbox) 2. Found " main.m " file 3. the command line, run it 4. Click the" Train Network " , waiting for a good sample of the training program 5. Click the" Test on Photos " , select a. jpg image recognition. 6. Wait for the program detects the face region createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m
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Size: 140288 |
Author: 郑碧波 |
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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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Size: 1024 |
Author: 郑碧波 |
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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: 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce the dimensions with pca, and finally multi-category classification svm classification and recognition, including the expansion of the complete orl face database, must be noted that, svm toolbox is to use the libsvm toolbox, configured before running libsvm. Version: libsvm-mat-2 [1] .89-3 [FarutoUltimate3.0]
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Size: 11366400 |
Author: |
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Description: 使用Gabor滤波器器组对图像进行卷积运算
-use Gabor filters the imaage deconvolution operator
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Size: 3723264 |
Author: 明白的 |
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Description: 1.从图像中识别几何形状的基本方法；基本原理是在于利用点与线的对偶性，将原始图像空间给定的曲线通过曲线表达形式变为参数空间的一个点，这样就把原始图像中给定的检测问题转化为寻找参数空间的峰值问题。
2.基于Gabor变换的人眼检测MATLAB实现。
3.基于Radon的车牌矫正方法。
4.基于模型函数headata产生不同大小的头模型数据。
5.基于函数wdcbm2()设置图像分层阈值压缩参数，实现图像压缩(The basic method of identifying geometry from the image; the basic principle is to use point and line duality, the original image space curve given expression through the curve into a parameter space of a point, so the peak detection problem is given in the original image is transformed into searching the parameter space.)
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Size: 4096 |
Author: LD1
|
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