3d-FDTD-UPML__3D

基于分水岭自动选取种子的区域生长来进行彩色图像分割(Automatically selected based on the watershed to the seed region growing for color image segmentation)

rcmc: 距离徙动算法.SAR多点目标成像算法。含主瓣宽度和积分旁瓣比的求解。(rcmc: range migration algorithm. SAR multi-point target imaging algorithms. Including the main lobe width and sidelobe ratio integral solving.)

利用DOA和TOA对运动辐射源的单舰无源定位(Using a single passive location DOA and TOA ship moving emitter)

代码使用全相位双正交变换（APBT）稀疏表示图像，主函数为test.(The code uses the all phase biorthogonal transform (APBT) sparse representation of the image, the main function for the test.)

图像变换,处理图片的变换及反走样处理，包含ＶＢ和ＶＣ的源文件(Image transformation, to deal with the change of image and anti-aliasing processing, VB and VC contains source files)

说明：  pso粒子群优化算法参数设置，是工具箱中结合部分的核心。(PSO PSO algorithm parameter settings, Toolbox is part of the integration of the core.)

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.)

结构光照明荧光显微镜数据稳定性检测程序，非常强大(Structured light illumination fluorescence microscopy data stability testing procedures, very strong)

基于分片重排列技术的维数约简方法，用于特征提取。(Patch Alignment for Dimensionality Reduction，IEEETrans.，2009.)

水下图像增强方法，可以对退化的水下图像进行图像复原，但是对太模糊的水下图像不适用。(a method of underwater images enhancement)