PDKSVT2

读取图片，分割出敢兴趣区域，用到同态滤波，形态学，连通域，以及hough圆检测等算法。(Read images, segmented m interested in the area, the use of homomorphic filtering, connected domain, morphology, hough circle detection algorithm)

视觉注意工具箱，经典的Itti模型的工具箱，是GUI工具箱，有很直观的操作(visual attention toolbox for matlab ,the bos of GUI)

bag of words 图像识别算法，斯坦福大学李飞飞实验室做的demo(bag of words)

视频水印的matlab源码，文件较多，分为六个压缩包，如果您作相关方向的研究，可用作参考(Video Watermarking Matlab source, the paper more, divided into six compressed, If you made related to the direction of research, can be used as a reference)

给出了偏微分方程的径向基函数配点法的数值解法，进行了数值模拟，并且给出了图形(The numerical solution of the radial basis function with partial differential equation method, numerical simulation, and gives the graphic )

说明：  JPEG2000 的一个实现，期中，wavelet.dll是提供的功能接口。(An implementation of JPEG2000, period, wavelet.dll is to provide a functional interface.)

sprites communication to windows in unix sys

对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法： 1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数； 2. 只能用C/C++，不能用其他语言； 3. GUI 只能用自带的HighGUI，不能用QT 或其他的； 4. 平台可以用Windows， Linux, MacOS； 5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色 展示），原图上叠加检测结果等，并将这些中间结果都输出成图像文件； 6. 命令格式： “xxx.exe 图片文件 k 参数(=0.04) Aperture_size(=3)”。(The input of a color image, write your own code to achieve Harris Corner Detection Algorithm: 1. Can not be called directly inside OpenCV some functions associated with the Harris corner detection 2. To only use C/C++, can not be used in other languages 3. GUI only with their own HighGUI, can not use QT or other 4. The platform can be used Windows, Linux, MacOS 5. Display intermediate and final results of the test results, including the largest eigenvalues diagram, the minimum feature value graph , R chart (you can consider color display), picture superimposed on the test results, etc., and these intermediate results are output as an image file 6. Command Format: " xxx.exe picture file k parameters (= 0.04) Aperture_size (= 3 ). " )

图像预处理的过程彩色图像去噪，彩色图像增强，彩色图像锐化(Image pre-process color image denoising, color image enhancement, color image sharpening)

说明：  深度学习，读取二进制文件，识别手写数字。(Deep learning, reading binary files, recognizing handwritten numbers.)