这是基于偏微分方程的图像处理的附带光盘内容，希望对大家有用...

这个项目即提供一个完整的基于BSP技术的实时场景渲染解决方案一个基于画刷的场景建模工具即场景编辑器，一个场景编译器，以及一个用于渲染编译后场景的基于OpenGL构建的图形库GxLib。UniBuilder为一些对场景数据有特殊要求的项目提供一个功能强大的可扩展的场景数据编辑工具，此工具产生的场景可用于产生BSP树。BSP编译器，负责将建模工具产生的数据编译成BSP树，并预计算可见性和光照贴图，供实时应用程序使用。此项目提供一个完整的基于BSP技术的实时场景渲染解决方案，包括完整的场景建模工具和BSP渲染库。场景建模工具采用了自己提出的基于画刷的场景组织方式和一系列配套的建模方案，具有一定的技术创新。此外项目提供了一个完善的基于BSP树的场景管理和渲染库，项目内容完整，技术含量较高，可扩展性强。吐血放出全部源码！-err

本代码用于处理图像增强，主要用VC++语言完成-Image enhancement

C++图形开发库，轻松帮助你完成系统界面效果-C++ Graphics development library and easily help you to complete the effect of system interface

数字图象处理中常遇见的图象融合相关源代码-Digital image processing of image fusion is often met the relevant source code

图象拼接SIFT算法的C原代码--加州大学一个博士生编的.下面是它的几个不同的版本,挑着用吧!-sciences image stitching algorithm C source code-- the University of California, a doctoral student in the series. Below are several of its different versions carry a use!

对图像进行边缘提取，采用canny算子提取边缘-The image edge extraction, edge extraction using canny operator

该数字图像处理软件包利用Delphi7.0完成，参照《基于Delphi的数字图像处理工程软件设计》这本书，可以实现基本的图像处理功能：如二值化、中值滤波、边缘检测、图像腐蚀等-The use of digital image processing software package Delphi7.0 completed, the light of

较简易的视频目标跟踪算法，有需要的朋友可参考-Than simple video target tracking algorithm, there is a need to refer to a friend

本科数字图像处理试验程序2，包括图像锐化分割等-Undergraduate digital image processing, two testing procedures, including image sharpening segmentation

This code implements the well-known Chan-Vese segmentation algorithm from the paper "Active Contours Without Edges." This technique deforms an initial curve so that it separates foreground from background based on the means of the two regions. The technique is very robust to initialization and gives very nice results when there is a difference between the foreground and background means. This code uses active contours and level sets in the implementation. It could also serve as a good framework for implementing all kinds of region-based active contour energies. 1.) Download 2.) Unzip 3.) Run >>region_seg_demo See this site for experiments, videos, and more information on segmentation, active contours, and level sets: [ http://www.shawnlankton.com/2007/05/active-contours/ ]