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PCA_SVM.rar
- 此方法采用经典的PCA对人脸图像进行特征提取，用libsvm库函数的SVM分类器对图像分类。,This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.
gray_matix
- 灰度共生矩阵提取图像特征 然后对图像分类-Gray-scale extraction of image feature co-occurrence matrix of image classification and then
pca_knn
- 本方法采用pca进行特征提取，knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
CV_Assignment
- 此资料实现了ADABOOST和HAAR的特征提取和从弱分类到强分类的具体步骤-The data achieved ADABOOST and HAAR of feature extraction and classification from weak to strong category specific steps
realadaboost
- matlab的一个基于realadaboost的人脸检测程序，有详细的源码，包括haar特征的提取，以及若分类器的学习。-Matlab based on adaboost face detection procedures, there are detailed source code, including haar feature extraction, and if the classifier learning
floaterK1
- 这是用MTTLAB编程，采用K近邻法对提取的水面漂浮物特征进行分类-This is programming MTTLAB, K-nearest neighbor method floats feature to classify the extracted water
svm
- SVM 用于基于块划分特征提取的图像分类源码-SVM for feature extraction block-based image classification into source
face_lbp
- LBP纹理特征提取，主要是针对人脸表情的动态纹理特征进行分类！-LBP texture feature extraction, the main classification dynamic texture feature recognition is facial expression!
xihua
- （1） 将图片灰度化与二值化 （2） 去噪，然后切割成一个一个的字符 （3） 提取每一个字符的特征，生成特征矢量或特征矩阵 （4） 分类与学习。将特征矢量或特征矩阵与样本库进行比对，挑选出相似的那类样本，将这类样本的值作为输出结果。 -(1) the image gray scale with two values (2) denoising, then cut into a character (3) extract
chulichexing
- 在样本图像采集读取、图像预处理、特征参数提取、车型识别分类等方面进行了系统研究-In the sample image acquisition read, image preprocessing, feature extraction, classification models to identify other aspects of the system study
Piotrs-Image-a-Video-Matlab-Toolbox
- 用来图像分割，特征提取，目标跟踪，分类的工具箱-Used for image segmentation, feature extraction, target tracking and classification of the toolbox
glcm
- 灰度共生矩阵用于提取图像的特征，用于图像识别和分类(Gray level co-occurrence matrix is used to extract the features of images, and is used for image recognition and classification)