ssim

split bregman for sparse image reconstruction

对图像目标识别和提取，主要通过改进非线性阈值分割实现(For image target recognition and extraction, the main method is to improve the non-linear threshold segmentation.)

光流法、帧间差分法、高斯背景模型差分法，在opencv环境下实现运动目标检测(moving objective detection matlab)

易语言仿彗星真彩PNG按钮源码，易语言写的图形图象编程，很好的参考。(Easy language imitation comet true color PNG button, easy graphics programming language to write, a good reference.)

图像倒频谱生成并分析，可以用于运动模糊图像的PSF参数估计(Cepstrum image generation and analysis, can be used for motion-blurred image PSF parameter estimation)

基于SUFT的特征提取与匹配，内涵详细的文档说明，很好的实现了特征提取与匹配，该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)

粒子群优化算法(的源程序，优化值，对图像分割有很大的帮助。(Particle swarm optimization (PSO) of the source.)

高斯粗糙表面的散射系数，输入参数含波长，需要regeng.m产生高斯粗糙表面。(rs1dg computes the bistatic scattering coefficient for Gaussian rough surfaces with Gaussian spectrum.)

说明：  行人检测HOG+SVM进行图片中行人检测，提供训练用的pos和neg样本，效果还可以；没有SVM工具箱的，压缩包里已经提供了，安装一下即可(Pedestrian detection HOG + SVM for pedestrian detection in pictures, providing POS and neg samples for training, the effect is good; without SVM toolbox, the compression package has been provided, just install it.)

这是著名的“Algorithmes de factorisation en matrices non-négatives fondée sur la beta-divergence”这篇文章算法的matlab源代码(This is the famous article " Algorithmes de factorisation en matrices non-ngatives fonde sur la beta-divergence" algorithm matlab source code)