FMCW-radar-ranging

图像超分辨率是指从一序列低分辨率观测图像中重建高分辨率图像。图像超分辨率充分利用了各帧图像 间相似而又不同的信息。(Compared with the model derived from Kolmogorov spectrum, the new model introduces more complete transcendent constraints and is more similar to the physical characteristics of atmospheric turbulence.)

使用CGAL库对人体三维网格分割并且把分割后的网格展开到一个平面上(using cgal to segment a mesh an expend )

sobel segmentation, this algorithme has a great effect for segmenting

校正图像倾斜的程序，很好用，可以纠正几何投影变形(Image tilt correction procedures, very good use, you can correct the distortion geometric projection)

新一代的arnold图像之乱变换算法，文件中详细说明了代码的含义，达到一定迭代次数后图像可以复原，是学习图像加密同学的必备代码(The chaos of a new generation of arnold image transformation algorithm, the paper detailed the meaning of the code, after a certain number of iterations the image can be restored, is essential for students to learn the code image encryption)

我自己写的用hilbert曲线扫描图像后，进行图像检索的代码，里面有很多有用的代码，有部分是在国外网上淘的(I wrote it myself using hilbert curve scanned image after image retrieval code, which has many useful code, some of the Amoy abroad online)

通过用户给定的标签信息，来提取图像中的标记像素点位置，保存为种子点(Through the label information given by the user, the position of the label pixels in the image is extracted and saved as seed points.)

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.)

OpenCV FaceDetectDirectShow小波图像分割算法(Wavelet image segmentation algorithm)

该程序用于嵌入信息位置的选择 可以根据产生的随机序列来嵌入 达到满足信息安全的要求(The procedure used to select the location of embedded information can be generated by random sequence to achieve the embedding of information security to meet the requirements of)