practice

用C++语言写的图像过滤，实现了中值过滤、最大值最小值过滤、均值过滤等，扩展性较好，能实现不同通道(With C++ language image filtering, to achieve a median filtering, maximum minimum filtering, mean filtering, scalability, better able to achieve different channels)

这是一个可以应用在大失准角下的强跟踪UKF(This is a can be applied to large misalignment angle of Strong Tracking UKF)

压缩感知图像处理用于SAR 经典的压缩感知教科书的源代码(compressed sensing SAT)

图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。(Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship between the draw, draw some rules, and then use these rules to automatically derive the most suitable image annotation words, these words represent the image annotation , these words represent the image annotation level semantic information.)

说明：  均值、高斯、中值三种基本的滤波方法与噪声模型(Mean, Gaussian and median filtering methods and noise model)

经典的斑块分析算法，计算Blob的源码，算法很好。(Classical plaque analysis algorithms to calculate Blob source code, algorithms very well.)

各种信息熵的计算，包括Tsallis 熵，Renyi熵，Shannon熵等，及它们的扩展形式。(The functions include extensive Shannon and nonextensive Tsallis,escort Tsallis,and renyi entropy.)

数字图像处理（MATLAB版）（第二版）的工具箱，m文件(Digital image processing (MATLAB version) (Second Edition) toolbox, m file)

全变差图像去噪，用的分裂Bregman迭代算法，分别用到了L1,、L2、和Lp范数来做的，其中在L1模型中还用到了高斯赛德尔迭代和收缩算子，(Total variation image denoising, with split Bregman iterative algorithm, respectively, used in the L1,, L2, and Lp norm to do, which is also used in the L1 model iterations and high Sisaideer contraction operator)

LLC做的图像分类算法，非常经典的图像分类算法。属于Bag-of-Feature模型，采用的是SIFT特征描述组。(LLC do image classification algorithm, belonging to the Bag-of-Feature model using the SIFT descriptor group)