Gamma

中值滤波：采用5*5窗口对噪声污染的图像进行去噪处理。(Median filter: 5* 5 window on the noise pollution to deal with the image de-noising.)

matlab图像处理中中加入椒盐噪声的源代码。(add salt and pepper noise matlab source code.)

Unix系统下，小波包变换的实现源码实例，，当然，稍作改动也可用于windows系统下。 (Unix systems, the instance of the wavelet packet transform source, of course, some minor changes can also be used in the windows system.)

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)

关于图像中的烟雾检测，输入图像，如果图像有烟雾的话，会自动检测，并显示出来(The smoke detector on the image, the input image, if the image of smoke, it will automatically detect and display)

利用c++实现图像转置源代码，像素变换的一种方式(use Image home to the source code, pixel transform the way)

图像质量评价，基于梯度的算法，适合初学者学习，其中有曲线拟合部分。(Image quality evaluation, gradient-based algorithm, suitable for beginners to learn, which curve fitting part.)

beta过程+稀疏表示，做单帧超分辨率重建(single imagle super-resolution by beta process)

fingerprint normalise

说明：  另外一种有效的椭圆陪陪技术，对于亚像素边缘检测非常有用的，真的不错(Oval to chat with another kind of effective techniques for sub-pixel edge detection is very useful, really good)