CrowdFromCloud

说明：  使用MATLAB求图像的形状特征-7个不变矩，亲自测试过可以用(Using MATLAB to find the shape feature of the image - 7 invariant moments, which have been tested and used personally.)

icp算法C++实例，用于点集的配准，实现两片点云数据的拼接(icp algorithm C++ instance, used for the registration point set to achieve splice two pieces of point cloud data)

首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the non-stationary fault signal is decomposed into several different frequency band components through dual-tree complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity between the component and the original signal at the same time, the correlation coefficient is bigger, the more similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was eliminated effectively, and the effective si)

基于拉haar小波的图像增强，与传统直方图均衡化相比较，效果更好。(Pull-based haar wavelet image enhancement, with the traditional histogram equalization compared to better.)

基于信息熵的迭代法求最佳阈值，并附参考论文及KSW熵法求阈值的程序。两个程序经实验测试通过无误。(Entropy-based iterative method for optimal threshold, together with reference papers and KSW entropy threshold method procedures. Two experimental test procedures correctly.)

We extend the well-known Shi-Tomasi-Kanade tracker by introducing an automatic scheme for rejecting spurious features. We employ a simple and efficient outlier rejection rule, called X84. Experiments with real and synthetic images confirm that our algorithm makes good features to track better

图像处理入门编程 包括动态跟踪和视频处理 有对应的任务指导书(image processing include the mission book)

基于DPCA算法的动目标检测，非常实用，希望对你有帮助(DPCA-based moving target detection algorithm is very useful and would like to help you)

对交通标志进行检测和识别（本文件仅针对红色交通标志进行识别）(Identification and identification of traffic signs (this document is only for identification of red traffic signs).)

波原子变换代码，一种新的类方向小波变换，更好的表示图像(Wave atom transform code, the direction of a new class of wavelet transform, and better representation of the image)