匹配滤波器图像识别

采用卡尔曼滤波算法进行视频序列图像的跟踪，这个程序从简单易懂的角度实现了视频目标的跟踪。(Kalman filtering algorithm for video sequence image tracking, this process from the perspective of straightforward realization of the video target tracking.)

给予稀疏编码的原理将10幅自然图像进行系数分解成为图像基。(Given to the principle of sparse coding will be 10 coefficients of natural images into separate image-based.)

基于区域能量的图像融合方法 赋原图 代码简练(Based on the Regional energy image fusion method)

本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档(toolbox is a collection of Matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods)

实现了立体匹配的SAD算法计算视差图，结果比较理想(Using the SAD algorithm to calculate the disparity map of stereo matching, the result is good.)

多光谱成像，压缩编码孔径成像，数据立方体获取，图像重建(multispectral CCA imaging)

该程序实现了相位编组法检测，可以将灰度缓慢变化的边缘提取出来(Realize the process of phase formation assay can be gray-scale changes in the edge of the slow extracted)

卡尔曼滤波（扩展方法）定时定位，自己编写调试。(Kalman filter (extension methods) time positioning, write your own debugging.)

利用双线性插值和最近邻插值实现RGB图像的缩放，利用MATLAB编写(The use of bilinear interpolation and nearest neighbor interpolation to achieve RGB image scaling, using MATLAB to prepare)

基于opencv 实现毛衣的瑕疵检测 属于毕业设计 功能完整(it is perfect)