计算机图形学先进算法，学习图像处理、机器视觉、虚拟现实的童鞋可以看一看，是国外经典教材，值得一看的。

【工程图学基础实验】学习资料

1、实验目的： 理解Bresenham光栅化算法，掌握绘制曲线的程序设计方法。 2、基本要求： 要求一：利用Bresenham中点画圆法画出圆形。 要求二：动态表现画圆过程。 要求三：根据Bresenham光栅化画圆算法，以（0，0）为圆心，以100为半径，绘制该圆。

计算机图形学几何工具算法详解,含图形学的经典实用算法的原理与实现。1/2个parts。

该书由英国著名生物模型专家J.M.斯密斯所著，是一本绝对值得一读的生物模型专著教材。

计算机图形学实验报告-绘制金刚石.pdf

本文分别从提高红外图像对比度、抑制噪声、增强红外图像彩色对比度这三 个角度研究了红外弱小目标图像的增强方法。文章介绍了红外图像增强的基本概 念和图像增强的效果评价，究了红外图像的成像机理和特点。首先分析了红外弱小目标图像噪声成因和目标成像特点，在抑制噪声方面重点分析比较了平滑滤波和中值滤波的优缺点，然后分析和研究了常用的基于直方图的方法、灰度变换、空间滤波以及基于数学形态学的弱小目标图像增强算法。最后本文研究了红外弱小目标图像的伪彩色增强，实验结果表明增强后的图像改善了视觉效果，提高了对比度。

一个非常经典的密码学验证工具。虽然比较旧，但仍然很有用。几乎可以验证现代密码学中所有的密码学方案，如古典密码、公钥密码、对称密码等。此外还有一些小工具。

这是关于计算机图形学三种直线的基本画法，对计算机图形学的初学者有较大的帮助，这是我中介的实验以及其详细代码。

The Python code and supporting material, including example data files, are available as a single ZIP compressed archive. This must be uncompressed before use and will extract into a folder (directory) called "PythonForBiology", inside which the Python files, ending in ".py", and various sub-folders can be found. This arrangement of files and folders will allow the Python code to run directly from inside the uncompressed "PythonForBiology", i.e. the locations of any modules or data files mentioned in the code (and book) are specified relative to this location. The "examples" sub-folder contains all of the data files that are used as examples to support the Python code described in the book. The "databases" sub-folder relates to Chapter 20 and contains SQL and Python files sub-divided into sections to support both SQLite and MySQL database implementations. The "speedy" folder relates to Chapter 27 and contains code relevant to the binding of fast functions written in the C or Cython languages, including any files required for compilation. Many of the book chapters have a corresponding Python file containing the completed scripts and programs for that chapter. These files may be run directly as Python to test the code they contain. Note that several of these files will not work isolation, given that they import functionality from the others, which are assumed to be in the same folder. Chapters 1-4 and 10 do not have a corresponding Python file given that they only discuss the code in terms of short or incomplete fragments.