自由衍射

python语言，三种阈值分割方式，简单阈值分割，自适应阈值分割，OTsu分割方式(Python language, three methods of image segmentation , simple threshold segmentation, adaptive threshold segmentation, OTsu segmentation)

点云插值，离散点云插值，孔洞填充，使用python语言(Point cloud interpolation, discrete point cloud interpolation, hole filling, using Python language)

说明：  利用小波双线性超分辨率重建算法得到的重建图像会出现低、高频系数不匹配的现象，从而使得到的高分辨率图像灰度偏移。本文对该方法进行了改进，并引入局部适应插值得到更为理想的重建算法。即小波与局部适应插值结合算法。(Using Wavelet bilinear super-resolution reconstruction algorithm is the reconstructed image will appear low, high-frequency coefficients does not match the phenomenon, thereby enabling high-resolution image to be offset. In this paper, the method is improved, and the introduction of local interpolation to be better adapted to the reconstruction algorithm. That is, wavelet interpolation combined with the local adaptation algorithm.)

涡旋光代码，自己写的，感觉还可以，想下载的下载(optical vortex, which is made by myself.)

自己写的条形码识别代码，能够识别商品条码，与大家分享，代码只供参考！(Write your own bar code identification code, the bar code to identify goods to share with you the code for reference only!)

空间点云的三角化，已通过调试，大家共同学习(Point cloud of the triangular space, and have passed testing, we learn together)

基本图像处理用C++的实现。包括平移旋转翻转边缘提取canny算子等(The basic image processing with C + +.)

说明：  能实现图像的分割和识别,能够区分开近似颜色区域的影响(this code can perform image crop and recongition)

灰度图像直方图的计算，超级好用的啊，可以通过它获得图像的分形维数等等，内存小，功能大(Gray image histogram calculation, super nice ah, you can get through it the fractal dimension of the image, and so on, the memory is small, functional large)

说明：  测试Glew开发环境搭建是否成功，如果您成功的安装了对应的glut和glew库文件。(the test code for glew, to know is it working.)