图形处理功能，有滤波功能，边缘提取等各个方面，值得一看...

分水岭算法代码，以及说明。用标记-分水岭算法对图像进行分割-Watershed segmentation algorithm

运动估计的几种算法,可以根据具体的要求进行选择,用起来很方便,也便于初学者进行学习比较-Several motion estimation algorithms, based on specific requirements of choice, easy to use, but also relatively easy for beginners to learn

用photoshop制作的电视条纹图的详细制作操作-Using photoshop television production pattern detailed operation

实现图像的旋转与缩放，用opencv实现，-Image rotation and scaling, using opencv realize,

一种向CBitmap对象读取“*.bmp”文件的快捷方式。 1、建立自己的CBitmap派生类。 2、增加一个“Load from bitmap”的函数： BOOL CMyBitmap::LoadBitmap(LPCTSTR szFileName) { DeleteObject() HBITMAP hBitmap=NULL hBitmap=(HBITMAP)LoadImage(NULL,szFileName,IMAGE_BITMAP,0,0,LR_LOADFROMFILE|LR_CREATEDIBSECTION|LR_DEFAULTSIZE) return Attach(hBitmap) }-CBitmap object to a reading of "*. bmp" file shortcuts. One, to build their own CBitmap derived class. 2, add a "Load from bitmap" function : BOOL CMyBitmap : : LoadBitmap (LPCTSTR szFileName) (DeleteObje ct () HBITMAP hBitmap = NULL hBitmap = (HBITMAP) LoadImage (NULL, szFileName, IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE | LR_CREATEDIBSECTION | LR_D EFAULTSIZE) return Attach (hBitmap);)

这是俄罗斯的一个博士的博士论文的配套源码，实现了GRAPH CUT用于立体视觉的匹配，它改善了传统GRAPH CUT计算耗时的缺点，他还因此称为微软一员，专门从事GRAPH CUT在图像处理上的应用。程序写的很精简，写的很好，反复学过很多遍，这也是C/C++爱好者提高编程能力的一个很好的学习样本，很值得仔细反复阅读。-This is a Russian doctoral thesis, Dr. supporting source, realize the GRAPH CUT for stereovision matching, which improves the calculation of time-consuming traditional GRAPH CUT shortcomings, he also is why they are called a Microsoft, which specializes in GRAPH CUT in image processing applications. Procedures written in very concise, well written, repeatedly studied many times before, this is C/C++ Lovers programming ability to enhance a good learning samples, it is worth reading carefully repeated.

图象处理－频率域的滤波程序源代码，可直接编译执行-Image processing- filtering in frequency domain source code, can be directly compiled implementation

利用usb摄像头识别红色足球，并提取出球的相对坐标-Usb camera identification using red football, and to extract the relative coordinates of the ball

用VC做的对比度拉伸程序，有范例图片和结果，效果不错。-do with VC contrast stretching procedures, photographs and examples of the results, good results.

边缘检测是图像处理和计算机视觉中最为经典和基础的问题之一，在物体识别、匹配、三维重建、图像检索等诸多领域有着重要应用-gfgfg