Source-code

基于压缩感知理论的目标跟踪算法，实现对可视目标的稳健跟踪(Target tracking algorithm based on compressed sensing theory)

彩色图像的arnold图像置乱和logistic混沌序列的图像加密程序matlab源码(Color image of arnold image scrambling and logistic chaotic sequence of image encryption program Matlab source)

haar小波变换 在图像配准中可以使用 进而进行基于小波金字塔的模板交互匹配(haar wavelet transform in image registration can be used to carry out based on wavelet pyramid interactive template matching)

针对多聚焦图像融合，采用基于小波分解和点扩展函数模型PSF相结合的融合方法。(For multi-focus image fusion, based on wavelet decomposition and the point spread function PSF model combining fusion.)

ONSL0稀疏重构算法是NSL0的优化版 输入: y:测量值向量 A:测量矩阵 A_pinv:A的广义逆 输出: xr:重构信号 用于对信号或者图像的压缩重构(ONSL0 u7A00 u758F u91CD u6784 u7B97 u6CD5 u662FNSL0 u7684 u4F18 u5316 u7248 u8F93 u5165: y: u6D4B u91CF u503C u5411 u91CF A: u6D4B u91CF u77E9 u9635 A_pinv: A u7684 u5E7F u4E49 u9006 u8F93 u51FA: xr: u91CD u6784 u4FE1 u53F7 u7528 u4E8E u5BF9 u4FE1 u53F7 u6216 u8005 u56FE u50CF u7684 u538B u7F29 u91CD u6784)

k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）(k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix))

图像细化注意，本程序的细化算法要应用于于含线条的黑白二值图像才可以看出细化效果。 (The thinning Note refinement algorithm of this program is to be applied to black and white binary image containing lines can be seen that the refinement effect.)

卡尔曼滤波、无迹卡尔曼滤波、扩展卡尔曼滤波等滤波程序，本人收集了实验室所有这个方面的程序，欢迎大家下载，非常好用~(Kalman filtering, unscented Kalman filter, extended Kalman filtering, filtering program, I collected all the aspects of laboratory procedures, are welcome to download and very easy to use ~)

在MATLAB中，信号S经过信道H卷积后生成接收信号V，V＝conv(S,H),从V和H反卷积(In MATLAB, the signal S after convolution H channel generated receive signal V, V = conv (S, H), from V and H deconvolution)

对一维信号的过采样函数，采用SINC插值的方法，可以使输出信号更加平滑。函数用法有说明，并附有简单程序进行验证说明。希望对有需要朋友有用! 有问题欢迎留言交流！(For the oversampling function of one-dimensional signal, SINC interpolation method is used. The usage of the function is explained, and a simple program is attached to verify the explanation.)