小小的东西,提朋友做的,帮忙上传,大家分享

应用三维重构原理对二维平面图形重建成三维图像。-Application of the principle of three-dimensional reconstruction of two-dimensional graphical reconstruction into three-dimensional image.

负责图像处理的相关操作，如保存、图像关联操作等。功能包括：获取图片信息、 缩放、色彩滤镜、亮度、反向、灰度、转换、裁贴、和插入文字、其它图片或几何图形。 Paint方法使用AutoScoolPosition属性发现滚动位置，使用AutoScrollMinSize属性进行设置。-Responsible for the relevant image processing operations, such as the preservation of image related operation. Features include: access to image information, zoom, color filters, brightness, reverse, gray, conversion, CD paste, and insert text, images or other geometric shapes. Paint ways to use attributes found Rolling AutoScoolPosition location, use AutoScrollMinSize attribute set.

这个程序是用来寻找定位图片中的物体的轮廓的，我试了一下效果非常好。用到了OpenCV编程，希望能给大家带来方便。-this procedure is used to find positioning objects in the picture of the outline, I tried it very good results. Depleted OpenCV program, in hopes of giving you convenience.

OpenCV进行皮肤检测.用了阈值法和贝叶斯方法.其中皮肤标记是用鼠标来完成的.自己还是比较满意的,愿与大家分享.-OpenCV for skin detection. Using the threshold method and Bayesian methods. Where the skin tag is to use the mouse to complete. I am still satisfied, and would like to share with you.

实现多小波变换的MATLAB工具箱库函数-multi-wavelet transform MATLAB Toolbox library functions

计算机图形学部分算法vc原码，实现了常用的功能-Computer graphics part of the original code vc algorithm to realize the functions of commonly used

vc++ 数字图象处理 很好用我看了以后收益非浅希望大家喜欢-vc digital image processing with very good after I read greatly benefit hope you like

自作的基于K-L的人脸识别源代码，谢谢指点-KL-based self-face recognition source code, Thank you, pointing

openyuv.m将yuv视频文件打开，保存为png文件。writeyuv.m将yuv视频中的第一镇上/下/左/右位移后写入另一yuv文件。-openyuv.m will yuv video file open, save as a png file. yuv video writeyuv.m will be the first town/down/left/right shift after another yuv file write.

本程序实现全变分(Total Variation, TV)的去噪算法，它使用了PDF纠正TV算法中的小问题。该算法可以很好地保留原图边缘信息的同时，去除噪声。-This procedure Variational realize the whole (Total Variation, TV) denoising algorithm, which uses a PDF corrective TV algorithm of small problems. The algorithm is well positioned to retain the image edge information at the same time, to remove noise.