Imageprocessingrelated_matlab_sourcecode (AdaBoost
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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.