GrayIMG

基于样本的纹理合成加速方法，MRF，基于Li-Yi Wei的论文。(Acceleration method based on texture synthesis samples, MRF, based on Li-Yi Wei of paper.)

利用CSplitterWnd类实现对单文档工程进行视图区域的分割(Using the CSplitterWnd class implements the single document engineering for segmenting the view area)

运用openCV编写的C++图像色彩转移程序，原理是先转化到Lab图像，再保持L不变调整图像的a、b分量的均值跟方差。(Using openCV prepared C++ image color transfer process, the principle is first converted to Lab image, and then adjust the image to keep L constant a, b, with the mean variance component.)

基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)

基于vc++6.0的SURF算法的程序代码，可以直接运行(Based on the SURF algorithm for vc++6.0 program code can be run directly)

（2001何斌+光盘）Visual c++数字图像处理（第二版），使用VC进行数字图像处理的相关资料，十分实用！((2001 Bin+ disc the) Visual c++ digital image processing (second edition), digital image processing using VC, very practical!)

圆形图表的处理，包括大圆套小圆，双指针，针对设计仪表的初学者很有帮助(Treatment of circular charts, including the great circle sets of small round, double pointer, very helpful for beginners instrument design)

这是一个数字模糊处理的算法论文!很好很经典(Number obfuscation algorithms! Good classic)

基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。程序运行前须安装（1）OpenCV: http://opencvlibrary.sourceforge.net （2）SIFT: http://web.engr.oregonstate.edu/~hess/index.html，并配置其环境参数。(OPENCV the SIFT-based feature extraction and matching algorithm. Contains a complete Gaussian pyramid from the image, DOG, space extremum point extraction, description of key points, KDtree matching key step in the realization of the full function of the comprehensive and in-depth understanding of Lowe s SIFT algorithm of tremendous help. Program to run before the installation of (1) OpenCV: http://opencvlibrary.sourceforge.net (2) SIFT: http://web.engr.oregonstate.edu/ ~ hess/index.html, and configure the parameters of their environment.)

对话框以及树控件的描述及应用,很值得初学者学习，代码可以直接运行(Dialog boxes, and a description of the tree control and application, it is worth learning for beginners, the code can be run directly)