程序中包括图像处理的各种经典算法，如：二值化，均衡化，灰度切片，腐蚀膨胀，粗化细化，边缘提取等，有助于初学者掌握图像处理的VC编程方法。...

计算机图形学课程设计，图形设计的实例。用VCC++编写的。-computer graphics curriculum design, graphic design examples. VCC with the preparation.

国外著名大学成功的人脸检测示例中的颜色跟踪！包含多种环境下的代码-famous University of face detection examples of color tracking! Covering a wide variety of environment code

这是著名的计算几何软件leda 3.0 的源码。- This is the famous computation geometry software leda 3.0 sources codes.

收集的一些有关色彩图像中值滤波的文章 希望对大家有帮助-Collected some of the color filter image of the article would like to have everyone help

绘制中国国旗与美国国旗 利用VISUAL basic编制-mapping the Chinese national flag and the American flag using Visual basic preparation

针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 -Due to the difficulty of getting disparity of less textured pixels with traditional approach, block matching algorithm with texture analysis was put forward. First, the images were described by LBP/C texture analysis. Then the expansion detection based on region growing was performed, and the less textured blocks were acquired. Finally the dense disparitymap of less textured area was obtained through block matching. The proposed algorithm was tested with the international standard image data and comparedwith some existing algorithms. The experimental results show that the proposed algorithm can improve the accuracy of disparitywhen handling less textured areas and can be used in practic

有关人脸检测的程序，对于给定的图像进行自动人脸检测，挺好用的。-The face detection procedure for a given facial image auto-detection, quite good use.

为编写Cellprofiler的新模块，matlab源程序。 用于分颜色显示不同的对象-CP for the preparation of new modules, matlab source. Show different colors for the sub-objects

一些关于计算机图形学的flash文件，可以更好的学习图形学的编程思想，讲述了各种划线的方法-some flash file about computer figure programming

对图像分块,计算每个块的均值和方差,并给出了结果的图象化表示,易于观察-Image sub-blocks, each block calculated the mean and variance, and gives the results of the image that is easy to observe