中文说明：应用背景1、图片预处理；2、特性提取：颜色、灰度共生矩阵、灰度差分、Harr-like、等多个特征提取算法；3、特性选择：从特征向量中选取有效的特性；4、基础算法：AdaBoost的训练与测试；贝叶斯算法5、AdaBoost的改进：升压，castboost、Floatboost算法关键技术采用MATLAB开发的图像方面的处理算法。包括图片预处理，特征提取，特征选择。AdaBoost算法以及算法的各种变种非常适合做图像处理方面的研究提振。
English Description：
Application background 1, image preprocessing; 2, feature extraction: color, gray level co-occurrence matrix, gray level difference, Harr like, and other feature extraction algorithms; 3, feature selection: select effective features from feature vectors; 4, basic algorithm: AdaBoost training and testing; Bayesian algorithm 5, AdaBoost improvement: boost, castboost, floatboost algorithm key technology using MATLAB Developed image processing algorithm. Including image preprocessing, feature extraction, feature selection. AdaBoost algorithm and its varieties are very suitable for the research of image processing.