Human-Motion-Tracking

主成分分析程序,应用于图像特征提取，数据降维等方面 (the code of PCA)

这是香港大学沙威博士写的压缩感知引论及相应的OMP算法。(This is written by the University of Hong Kong, Dr Savit compressed sensing cited dealt with the OMP algorithm.)

粗化细化程序很好用的，大家试市啊，(crude refining procedures of the good, we take the city ah,!)

图像拼接算法中尺度不变特征转换（sift）源码。经过本人测试修改完全可用，对matlab还不怎么熟练的新手有很大帮助。(Image mosaic algorithm scale invariant feature transform (sift) source. After I test change is totally available, not on how skilled novice matlab great help.)

利用MATLAB对图像边界内部的部分进行填充，以便后期对图像处理(Using MATLAB within the boundaries of the part of the image to fill, so that the latter part of the image processing)

先对图片进行灰度处理，然后进行高斯滤波，最后得到边缘特征点。(First deal with gray-scale pictures, and then carry out Gaussian filter, and finally get the edge feature point.)

％通过耦合神经网络结合中值滤波实现图像的降噪源代码( Through the combination of coupled neural network filtering image noise source code)

说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)

几种图像去燥以及图像增强的滤波器示例，中值滤波，陷波滤波器、频域低通滤波，均值滤波等(Several examples of image de dryness and image enhancement filters, median filtering, notch filter, frequency domain low-pass filtering, mean filtering, etc.)

相位编组提取长直线的强弱文理，用于灰度图像明显的图像的处理(Marshalling phase extraction strength ARTS long straight, clear images for grayscale image processing)