实验

一个经典的动态视频图像去隔行处理的源代码,能消除双场图像的场效应(A classic dynamic de-interlacing video processing source code, to eliminate dual-field image of the field-effect)

基于预测误差周期性的图像重采样检测程序。(Image resampling detection based on the periodicity of prediction error)

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.)

通过多分辨率分解，实现红外图像的增强，改善图像的对比度(Through a multi-resolution decomposition, to achieve enhanced infrared image)

单相并网光伏逆变系统仿真，带最大功率点跟踪(PV system is connected to grid through single phase inverter)

智能图像处理提出了一种改进的基于特征和回归分析的人群密度估计算法。引入图像中的角点个数作为低层特征(Interactive Images: Cuboid Proxies for Smart Image Manipulation)

Mallat算法和Atrous算法实现任意一维信号和二维图像的分解与重构。(Mallat algorithm and Atrous algorithm to achieve the arbitrary one-dimensional signals and two-dimensional image decomposition and reconstruction.)

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

三维重构的程序，包括角点检测，匹配，F矩阵的计算等(Three-dimensional reconstruction procedures, including corner detection, matching, F matrix calculation)

本人搜集的Ostu图像二值化的算法，是在MATLAB环境下写的，不过上传的代码是文本格式的，各位可以根据自己需要参照一下(I collect images of two gray value of the algorithm is to write MATLAB environment, But the code is uploaded to the text format, you may need to refer to themselves)