Description: 本程序主要是为对人脸检测有兴趣人士提供一种参考例子，采用Gabor特征提取和神经网络。-This procedure is mainly for face detection are interested to provide a reference example, the use of Gabor feature extraction and neural networks. Platform: |
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Author:林盈 |
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Description: Face Detection System
Face Detection using gabor feature extraction and neural networks
-Face Detection System Face Detection using gabor feature extraction and neural networks Platform: |
Size: 166912 |
Author:hujik |
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Description: gaborconvolve.m Code for convolving an image with a bank of log-Gabor filters. A pre-processing step for texture analysis, feature detection and classification Platform: |
Size: 3072 |
Author:wugang |
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Description: 人脸检测的代码，很强大！
！Face Detection System基于Gabor特征提取和人工智能的人脸检测系统源代码fdp5final-Face detection code, it is powerful! ! Face Detection System Based on Gabor feature extraction and artificial intelligence face detection system source code fdp5final Platform: |
Size: 190464 |
Author:wupeng |
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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 Platform: |
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)) Platform: |
Size: 1024 |
Author:郑碧波 |
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Description: 先用gabor 小波滤波器,做特征提取，然后用支持向量机（SVM）做分类，来实现人脸检测.需要用matlab 2010 或更新的版本才能运行-the code is used for face detection.Firstly it use gabor wavelet filter for feature extraction,Secondly it use support vector machine (SVM）for classification.matlab 2010 required. Platform: |
Size: 163840 |
Author:xiang |
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Description: 使用Gabor特征提取和神经网络的人脸检测，里面带有人脸和非人脸的训练图库，检测效果很好。
运行该程序：
1 -所有文件和目录复制到MATLAB的工作文件夹 *-为了运行程序，你必须有图像处理和神经网络工具箱
2 - 找到名为“main.m”的文件
3 - 双击这个文件或在命令窗口中的“主”类型
4 - 将显示一个菜单。点击“火车网”，并等待，直到程序完成培训
5 - 点击“照片上的测试”。将出现一个对话框。选择一个。JPG图片
6 - 等待，直到程序检测到一些面孔
-Gabor feature extraction and neural network face detection, which with a human face and non-face training Gallery detection works well. Run the program: 1- all files and directories copied to MATLAB work folder*- In order to run the program, you must have image processing and neural network toolbox- find a file named " main.m" - double-click on the file or " master" in the command window type- will display a menu. Click on the train network, and wait until the process is complete training- Click the photo test. A dialog box appears. Select one. JPG picture- wait until the program detects some faces Platform: |
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Author:朝颜 |
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Description: ace Detection Program for MATLAB 2013a
using Gabor Feature Extraction and Neural Networks
----------------------------------------------------------------
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- (Important) Navigate to the root folder which contains "main.m".
3- Type "main" or "run main" in the command window
4. Only fort the first time, the program creates
Gabor filters and stores them in ./data/gabor.mat
Training set dataset and stores it in ./data/imgdb.mat
Neural Network and stores it in ./data/net.mat
5- imgdb is short for "image data base".
6- When the program menu appears click on "Train Network" and wait until the program is
done with the training-ace Detection Program for MATLAB 2013a
using Gabor Feature Extraction and Neural Networks
----------------------------------------------------------------
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- (Important) Navigate to the root folder which contains "main.m".
3- Type "main" or "run main" in the command window
4. Only fort the first time, the program creates
Gabor filters and stores them in ./data/gabor.mat
Training set dataset and stores it in ./data/imgdb.mat
Neural Network and stores it in ./data/net.mat
5- imgdb is short for "image data base".
6- When the program menu appears click on "Train Network" and wait until the program is
done with the training Platform: |
Size: 180224 |
Author:manu |
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Description: 基于Gabor特征提取和神经网络的人脸检测的matlab程序-Human face detection based on Gabor feature extraction and neural network in matlab Platform: |
Size: 152576 |
Author:mark |
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Description: 基于Gabor特征提取和人工智能的人脸检测系统-Face Detection System Based on Gabor Feature Extraction and Artificial Intelligence Platform: |
Size: 254976 |
Author:SmartZhao |
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Description: 1. 使用matlab自带的人脸识别工具（Viola-Jones算法）找出人脸的位置，并裁剪出人脸区域。
2. 使用Gabor滤波器识别出人脸的局部特征及纹理。
3. 训练一个SVM进行表情分类。
4. 交叉验证得到表情分类正确率为83.3 。
操作说明和系统描述请见ReadMe.-1. Using matlab with face detection tool (Viola-Jones algorithm) to find the location of a human face, and cut out the face region.
2. Use Gabor filter to identify the face local feature and texture.
3. Adopt SVM to train a facial expression classifier.
4. Use cross-validation to exam the classification accuracy: 83.3 . Platform: |
Size: 5593088 |
Author:冯溢 |
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Description: 植物虫害检测（GUI，注释，svm算法）
该课题为基于MATLAB SVM方法的植物病害检测系统，带GUI界面，可以识别多种被虫害侵蚀的植物叶子，输出结果。带论文和详细注释。
train 对黄瓜子文件夹所有图片提取 颜色矩特征和gabor纹理特征，然后svm训练
test 对测试图像灰度化，滤波，提取 颜色矩特征和gabor纹理特征，然后svm模型测试，输出类别
colorMom.m 颜色矩特征提取
Gabor_palm.m gabor纹理特征提取(Plant pest detection (GUI, annotation, SVM algorithm)
The project is a plant disease detection system based on MATLAB SVM method, with GUI interface, which can identify a variety of plant leaves eroded by pests and output results. With paper and detailed notes.
Train extracts color moment features and Gabor texture features from all the pictures in the sub folder of cucumber, and then SVM trains them
Test grayscale and filter the test image, extract color moment features and Gabor texture features, then SVM model test, output category
Colormom. M color moment feature extraction
Gabor u Palm. M Gabor texture feature extraction) Platform: |
Size: 6463488 |
Author:for Matlab |
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Search - gabor feature detection matlab