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基于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
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- 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
gaborfilter
- 实现gabor滤波器的滤波功能。里面有3种版本-Achieve gabor filter filtering. There are 3 versions inside
Gabor-filter-Matlab-code
- Matlab的Gabor滤波器代码，使用方法: I = imread( 图像文件名 ) [G,gabout] = gaborfilter1(I,2,4,16,pi/3) figure,imshow(uint8(gabout)) -Gabor filter Matlab code, use the method: I = imread ( image filename ) [G, gabout] = gaborfilter1 (I, 2,4,16, pi/3) figure, imshow (
Loggabor-Lung-cancer-detection
- Loggabor Lung cancer detection Steps 1. First enter the patient ID 2. Enter patients mail ID 3. Select Input image cross sectional view of lungs • After selection the image histogram equalized, • Gabor filterd enhance the ima
Gabor_Features_Extraction
- A Gabor-filtering method for describing textural features is proposed, which applies the physical properties of a probability wave to probability transformation, and computes textural features 2) An adaptive strategy for feature and filter s
Garbor-filter
- 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 t
2D Gabor mfile Version(1,2,3)
- 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)
fanfou_V0.3
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,Gabor小波变换与PCA的人脸识别代码，真的是一个好程序。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Gabor wavelet transform and PCA face recognition code, Really is a good program
lingnan-V7.3
- Gabor小波变换与PCA的人脸识别代码，基于负熵最大的独立分量分析，用于特征降维，特征融合，相关分析等。- Gabor wavelet transform and PCA face recognition code, Based on negative entropy largest independent component analysis, For feature reduction, feature fusion, correlation analysis.
bunmou-V2.3
- 包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,Gabor小波变换与PCA的人脸识别代码，正确率可以达到98％。- Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, Gabor wavelet transform and PCA face recognition code, Accuracy can reach 98 .
FacialExpressionClassification
- 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
ultralsonic
- 超声测距，单发单收，主要运用gabor变换法，也用了其它方法，精度可以达到0.3厘米，运行main程序可以得到完整结果。(Ultrasonic ranging, single shot single collection, the main use of Gabor transform method, also used other methods, cited papers packaged together The accuracy can be up to 0.3 cm,