read_nc

一个外国人写的很好的meanshift聚类算法，有例程，可运行(Written by a foreigner meanshift good clustering algorithm, a routine can be run)

用于对图像进行分割的算法的一种，对部分类型图像处理较好 (For the image segmentation algorithm a kind type of image processing on the part of good)

用matlab实现的欧拉影像放大应用程序。(Euler image magnification application realized by matlab.)

EasyGallery是一个用非常简单的方法来生成缩略图的PHP程序。可应用于所有你需要的图像文件。(EasyGallery is a very simple way to generate thumbnails PHP program. All you need can be applied to an image file.)

一种基于节点密度分割和标签传播的Web页面挖掘方法(A mining based on node density segmentation and labeling dissemination of Web pages)

说明：  图像处理的位图操作，256色转为灰度图，图像处理入门源程序(Bitmap image processing operations, 256-color to grayscale, image processing, entry-source)

这是图象缩放的代码，对于学习图像的朋友应该有所帮助(This is the image scaling code for the study should help the image of a friend)

transver mat file format to raw file format, simply matlab code, usd to 3D medical image processing/data input

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)

对RGB图象的处理,一般要进行增强以达到去噪,锐化的功能,本程序在拉普拉斯算子基础上实现的(RGB images of the treatment, the general should be enhanced in order to achieve de-noising, sharpening function, the procedures in the Laplacian, based on the)