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一幅大小为256×256的256级灰度图像（每像素8bit） 如果图像的各个像素之间是统计独立的，求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的，求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information entropy of the image is calculated Discrete memoryless source If each pixel of the image is not statistically independent, the information entropy of the image is calculated Probability distribution model of image pixels)

将某一8位的raw格式图转换为16位的raw格式图 并可输出raw格式图的灰度值至相应文件（.txt文件） 生成的新图用PS打开时与原图基本一致.(It can converted an 8-bit raw format, to an 16-bit raw format and can output raw format diagram of the gray value to the corresponding map file (. Txt files) .The new plan to open with PS are basically consistent with the Original.)

用CUDA并行处理方法改写的图像降噪算法，包括KNN,NLM,以及改进的NLM方法。配置环境适合VS2010+CUDA5.0,对使用CUDA的同学来说是很好的教材。(Image denoising algorithms including KNN,NLM and refined NLM run on CUDA, useful demo for who learns CUDA based parallel programming.)

图像细化处理的C代码，效果较好，对初学者有较好的参考作用(Image processing of C code, the effect is good, is good for beginners reference)

* 说明: 该函数将对图象进行（成对函数匹配）操作。需要注意的是，此程序先要求对图像进行特征提取及形态学操作等，使其成为二值图像。(* Note: This function will be images (paired function matching) operation. Note that this procedure require image feature extraction and morphological operations, making it a binary image.)

说明：  基于块分割的图像拼接，将图像按块拼接，缺点是速度很慢，算法有待改善(Block-based segmentation of the image mosaic, mosaic images by block, the disadvantage is very slow, the algorithm needs to be improved)

一个求多边形面积的程序 也许会对某些人有用(Area of a polygon for the procedure may be useful to some people)

说明：  用opencv编写的视频捕捉以及边缘提取的程序，调试成功，另附调试用的avi视频，希望对大家有所帮助(Opencv prepared with video capture as well as the procedures for edge detection, debugging success, followed by the avi debug video, hope to help everyone)

CGAL，Computational Geometry Algorithms Library，计算几何算法库，设计目标是，以C++库的形式，提供方便，高效，可靠的几何算法。CGAL可用于各种需要几何计算的领域，如计算机图形学，科学可视化，计算机辅助设计和建模，地理信息系统，分子生物学，医学成像，机器人运动规划，网格生成，数值方法等等。 　　 计算几何算法库（CGAL），提供计算几何相关的数据结构和算法，诸如三角剖分（2D约束三角剖分及二维和三维Delaunay三角剖分），Voronoi图（二维和三维的点，2D加权Voronoi图，分割Voronoi图等），多边形（布尔操作，偏置），多面体（布尔运算），曲线整理及其应用，网格生成（二维Delaunay网格生成和三维表面和体积网格生成等），几何处理（表面网格简化，细分和参数化等），凸壳算法（2D，3D和dD），搜索结构（近邻搜索，kd树等），插值，形状分析，拟合，距离等。(The goal of the CGAL Open Source Project is to provide easy access to efficient and reliable geometric algorithms in the form of a C++ library. CGAL is used in various areas needing geometric computation, such as: computer graphics, scientific visualization, computer aided design and modeling, geographic information systems, molecular biology, medical imaging, robotics and motion planning, mesh generation, numerical methods... More on the projects using CGAL web page. The Computational Geometry Algorithms Library (CGAL), offers data structures and algorithms like triangulations (2D constrained triangulations, and Delaunay triangulations and periodic triangulations in 2D and 3D), Voronoi diagrams (for 2D and 3D points, 2D additively weighted Voronoi diagrams, and segment Voronoi diagrams), polygons (Boolean operations, offsets, straight skeleton), polyhedra (Boolean operations), arrangements of curves and their applications (2D and 3D envelopes, Minkowski sums), mesh generation (2D Del)

CVPR2011文章Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns(paper of CVPR2011 Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns)