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本文介绍了一种 )’’ 多系统静态基线数据处理方法!该方法使用统一的方式来处理 &’ 5.)6’’ 北斗 及三者融合的观测数据#这种处理方法已经实现在广州南方测绘仪器有限公司的静态后处理软件中#本文使用实际数据验 证了这种处理方法!得到了较好的结果(This article describes a ) ' multi-system static baseline data processing method! This method uses a unified way to deal & ' ' 5.) 6' ' ' Compass and three observational data fusion# This treatment method It has been achieved in the static Guangzhou South mapping Instrument Co.# post-processing software used herein, the actual data validation of this approach! Get better results)

SIFT特征提取 http://www.opencvchina.com/forum.php?mod=viewthread&tid=209&fromuid=267 (SIFT feature extraction http://www.opencvchina.com/forum.php?mod=viewthread& tid=209& fromuid=267)

VB像素光影跟踪（图像渲染）工具,有需要的就下载吧。(VB Tracking pixel lighting (image rendering) tools, there is a need to download it.)

针对图像秘密共享前需要像素置乱的问题，基于(t, n)门限多重秘密共享思想，提出一种免置乱的图像秘密共享方案，以第n+1人的秘密份额作为因子参与秘密分割与重构，加大相邻像素之间的差距(Based on (t, n) threshold multiple secret sharing ideas, and put forward a kind of scrambling image from secret sharing scheme to n+ 1 people share the secret as factors involved in secret segmentation and reconstruction, increase the gap between adjacent pixels)

实现bmp图像读入和写出，彩色图像灰度化，直方图均衡化(Implement bmp image read and write, color image graying, histogram equalization)

本文实现了Retinex算法，支持对图像的去雾灯操作，是一种图像增强的方法。(this paper present a new image strength method-Retinex impliment by opencv)

光线跟踪，计算机图形学的实验，实现的是消隐，光线之间的遮挡等(Ray-tracing, computer graphics experiments, realize that the hidden light, such as between the block)

人头检测 通过颜色分割产生人头头发部分的二值图像，计算此部分的面积和长宽比来判断是否有人头(human detection)

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)

实验一 直线生成算法 实验二 圆弧生成算法 实验三 窗口菜单交互界面 实验四 区域填充算法 实验五 裁剪算法算法 实验六 图形软件开发包/库应用 实验七 曲线的生成算法 实验八 曲面生成算法 实验九 二维图形变换(Experimental line generation algorithm experiment two arcs to generate the algorithm experimental three-window menu interface experiment four regional filling algorithm experimental five-clipping algorithm algorithm experiment six graphics software development package/library application experiment seven curve generation algorithm experiment eight surface generation algorithm experiments ninety-two dimensional graphics transform)