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VisualC++数字图像处理技术详解第2版光盘-第五章(VisualC++ digital image processing technology Detailed Version 2 CD- Chapter V)

用神经网络方法筛选图片，从而判断某一图片是否存在病变(Neural network)

这是我的图形学的作业，实现光线跟踪。也是学别人做的，仅供学习用。(this is a study work about computer graphics , realizing tracking )

说明：  对图像畸变进行校正,对有些图像由于近小远大照成的畸变进行校正，采用了opencv(To correct image distortion , It s important to the machine vision)

匹配算法，可以完美运行，对于初学者有着很好的参考价值(Matching algorithm, can be a perfect run, has a very good reference for beginners)

* 说明: 该函数将对图象进行（成对函数匹配）操作。需要注意的是，此程序先要求对图像进行特征提取及形态学操作等，使其成为二值图像。(* Note: This function will be images (paired function matching) operation. Note that this procedure require image feature extraction and morphological operations, making it a binary image.)

RAw格式图片的显示，边缘检测，包括SOBEL算子，具有不同模板的拉普拉斯算子边缘检测，以及一些简单的滤波方式(sadfsadf asdfasdf asdf)

基于VC++的RGB-IHS 变换实现过程和主成分分析 PCA 实现过程 .(The implementation process based on VC++ RGB-the IHS transform and principal component analysis PCA implementation process.)

GraphCut算法的实现，跟踪主动镜头下的目标，效果很好！(GraphCut algorithm to track the goal of the initiative under the lens, very good!)

用kinect获取3D图像，并从3D图像中用OpenCV方法从深度图中获取梯度边缘，从而得到更多信息，做后续处理(Get with kinect 3D images, and get the edge gradient from the depth map from a 3D image using OpenCV method to obtain more information, do follow-up treatment)