image_segment

用于相机标定的棋盘角点检测程序，包含伪角点去除，亚像素角点提取(Chessboard corner detection procedures for camera calibration, including the removal of the pseudo-corner, subpixel corner extraction)

舌像的梯度提取，然后进行分水岭分割，最后进行邻近区域合并，得到舌体图像。(tongue-image s watershed segmentation based on its gradient change.)

应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:Program FilesAnaconda3Libsite-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the new name "pydensecrf" Puting this file "pydensecrf" in this directory "C:Program FilesAnaconda3Libsite-packages" cd examples/ python inference.py im1.png anno1.png out.png)

关于数字图像一些典型隐写的隐写分析。隐写、分析和提取的讲解(Steganalysis of Some Typical Steganography in Digital Images)

图论分割算法之一“Nystrom Ncut”MatLAB源程序。(MatLAB codeof “Nystrom Ncut”.)

用图片素材自制的漂亮皮肤，编写的类似QQ的聊天工具。完成了QQ的及时聊天的功能。数据库文件在DB_51aspx文件夹下用高于sqlserver2000版本的数据库管理器附加即可。程序用vs2005或较高的版本调试。调试代码前修改DbHelpClass.cs中的string Str = "server=.\服务器;uid=sa;pwd=密码;database=MyQQ";数据库的名称不用改变附加数据库文件后名称自动附加为MyQQ。修改app.config配置文件中数据库链接字符串。

利用matlab提取掌纹图像的感兴趣区域，ROI提取(Extract palmprint images using matlab region of interest, ROI extraction)

路标识别的应用实例，可以快捷的检测并识别路标的种类！(Road sign recognition application example, you can quickly test and identify the types of signs!)

盲信号分离应用的图像盲分离的资料，给出了事例以及部分源码(Blind Signal Separation Application Blind Image Separation of information, and gives examples of some of the FOSS)

包含二维广义S变换程序和测试程序，用于对图像进行时频分析。matlab版本R2011b,操作系统为32位win7。在2G内存下最大只能对84*84的图像进行处理，更大的图像会出现out of memory的问题。目前网上还没有这个程序，包括本站，pudn，ilovematlab都没有。把程序上传到这三个地方，望大家一起来改进它。(Contains a two-dimensional generalized S transform procedure and testing procedure.It is used for the time-frequency analysis of images.Matlab version :R2011b, operating system: 32 win7. Tests under 2G memory can only process 84* 84 images.A larger image will incur "out of memory" problems. This program is not found online before, including this site, CSDN, ilovematlab. Upload the program to the above three websites, hoping it improved by the help of everyone.)