gray2rgb

二维图形图像处理，高斯平滑的源代码，图像预处理(Two-dimensional graphic image processing, Gaussian smoothing of the source code, image preprocessing)

模式识别中相似度-豪斯多夫距离源码,可用于对比算法相似度，也可直接作为函数调用(Hausdorff distance for pattern recognition similarity calculating)

通过相机标定工具箱得到相机的内参等信息对多幅图像进行三维重建。再贴上纹理。(Camera Calibration Toolbox has been through the camera' s internal information on the number of three-dimensional image reconstruction. Then paste texture.)

susan实现图像的角点检测,调用的详细说明在源代码内有注释.()

自己写的用开闭眼模板法判断一个眼睛的开闭状态，前提是需要去定位眼睛(Wrote it myself with open eyes closed, a template method to determine the state of opening and closing the eyes, the premise is the need to positioning the eyes)

说明：  实现图像重建功能，里面包含三种算法，LBP、LandWeber、共轭梯度算法(Realizes image reconstruction, which contains three algorithms, LBP, Land Weber, conjugate gradient algorithm)

盲反卷积算法复原图像的代码,带注释,适合初学者学习(Blind image restoration code, with comments)

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)

说明：   最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)

说明：  用matlab写的t-snake的算法用于处理比较简单的情况有一定参考价值(using Matlab write t-snake algorithm for handling simple reference of a certain value)