wavelet

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)

ch5_1_1： 图像灰度线性变换 （§5 联合开发网 - pudn.com

利用双线性插值，获取亚像素位置的灰度值。适用于得到sift、surf得到的特征点坐标处的灰度值获取(The gray value of sub-pixel position is obtained by bilinear interpolation)

说明：  用matlab利用压缩感知CS实现对一位信号的处理~小波稀疏分解，正交追踪算法重构~1-D信号压缩传感的实现(正交匹配追踪法Orthogonal Matching Pursuit) 测量数M>=K*log(N/K),K是稀疏度,N信号长度,可以近乎完全重构(CS with matlab using compressed sensing to achieve a sparse signal processing- wavelet decomposition, the orthogonal tracking reconstruction algorithm)

椭圆拟合，输入中心坐标及椭圆长半轴和短半轴即可画出相应椭圆(ellipse fitting)

harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接(harris corner detection, and realize two image feature point matching, the final completion of image stitching)

在车辆检测中，对提取的前景进行基于hsv特性去除阴影(In the vehicle detection feature to remove the shadow on hsv)

说明：  LTP算子提取图像的纹理特征，这种方法对于光照变化十分有效。(LTP operator image texture feature extraction, this method is very effective for the illumination changes.)

python实现的三维空间维罗尼图算法演示。(3d voronoi use python)

进行纯净信号和加噪信号的时频域显示，及其包络图显示，并计算加噪信号的信噪比、互相关系数、峭度值，对信号进行离散余弦变换。(The time-frequency domain display of pure signal and noise-added signal and its envelope diagram display are carried out, and the signal-to-noise ratio, correlation coefficient and kurtosis value of noise-added signal are calculated.Making Discrete CoSine transform for signal)