一个很有趣的图片管理程序

直线DDA,BRESENHAM；Bezier算法，圆bresenham算法及平移旋转算法-Linear DDA, BRESENHAM Bezier algorithm, round bresenham algorithm and translation rotation algorithm

很好的边缘锐化（图像处理）-Edge Sharpening good (image processing)

这好一个关于dicom图像处理的算法程序，图像的显示，角度距离的计算等。-This is a good one on the dicom image processing algorithms, graphics display, angle distance calculation.

此代码介绍的是轮廓检测，轮廓检测的原理通俗的说就是掏空内部点，比如原图中有3*3的矩形点。那么就可以将中间的那一点去掉。在OpenCV中使用轮廓检测是非常方便。直接使cvFindContours 函数就能完成对图像轮廓的检测。

一个SIFT特征检测的VC程序，SIFT特征检测在目标检测与识别中非常有用！-a physiology of the VC feature detection procedures, Detection characteristics of metabolism in target detection and identification is very useful!

计算机图形学作业（TC2.0版）,如今不多见了-computer graphics operations (TC edition), now rare

演示了旋转文字的方法，追求的是简单好用，i资料收藏夹的启动窗体上的文字效果，就是用了这个代码-demonstration of the rotating text, the pursuit of the simple ease of use i folder of information collection Form launched the text effects, and that is using this code

本软件是由作者经过数字图像处理课程的学习，采用vc++.net将其基本算法实现，其算法主要包括： 1.点运算（灰度直方图，直方图均衡处理，线性运算，二值化，灰度化等） 2.几何运算（旋转，放缩，镜像，平移） 3.几何空间增强（均值，中值滤波器，k近邻均值，中值滤波器，Roberts,sobel,priwitt,laplacian,wallis锐化算子等） 4.频率域增强（基2FFT进行空间域到频率域的转换，高斯，理想，巴特沃斯高低通滤波器） 5.形态学（膨胀，腐蚀，开，闭运算，边缘提取） 6.图像复原（加躁）----- 由于时间关系这部分为完成 7.另外加上一个用于读取24位dib的类。-the software is the author of Digital Image Processing courses of study, using vc. Net to its basic algorithm, the algorithm include : 1. Point Operators (histogram, histogram equalization, linear operation, two values, such as Gray) 2. Geometric Operational (rotation, scaling, mirror and translation) 3. geometric space enhancement (mean, median filter, k neighbors Mean, Median Filter, Roberts, segmentation, priwitt, Laplacian, Wallis Sharpening operator, etc.) 4. frequency Domain Enhancement (radix 2 FFT space frequency domain to the domain conversion, Gaussian, ideals, Butterworth High-Low Pass Filter) 5. Morphology (expansion, corrosion, open and close operations, edge extraction) 6. Image

经典的基于PCA面部识别系统，含注释及测试图片-Classical PCA-based facial recognition system, including the Notes and the test image

face detector f acing to detect automatic without any sample-face detector for facing to detect automatic without any sample