Directshow中Video Mixer Render9的使用，很好的代码，具有很好的参考价值...

图像格式转换的源码，用于图像不同格式的转换，如转换公式为Gray(i,j)=0.11*R(i,j)+0.59*G(i,j)+0.3*B(i,j)，其中Gray(i,j)为转换后的黑白图像在（i,j）点处的灰度值，其中绿色所占的比重最大，所以转换时可以直接使用G值。 -The source image format converter for conversion of images in different formats, such as the conversion formula for the Gray (i, j) = 0.11* R (i, j)+ 0.59* G (i, j)+ 0.3* B ( i, j), which Gray (i, j) for the converted black and white images in the (i, j) point of the gray value, of which the largest share in the green, so conversion can be directly used when the G value.

文件为读取图像的代码.给初学的人一个参考-document images to read the code. To the beginner"s reference to a person

％ 采用数字分段匹配的方式，将数字分为横、竖、左半弧、右半弧、上半弧、下半弧、 ％ S、反S、环 共9种元素，数字的元素间按照上、下、左、右、中5种相对关系进行定义。 ％ 此时不采用绝对位置，而用相对关系的位置更具有鲁棒性，这样一共是45个维度。- Using digital sub-matching methods, the number is divided into horizontal, vertical, the left arc, right arc, arc the first half, second half of arc, S, anti-S, ring a total of nine kinds of elements, the number of elements in accordance with the upper and lower, left, right, in the relative relationship between the five kinds of definition. At this time do not use absolute position, and relative position with a more robust, so that a total of 45 dimensions.

一些关于计算机图形学的flash文件，可以更好的学习图形学的编程思想，讲述了各种划线的方法-some flash file about computer figure programming

视频水印matlab源码，此为第四个压缩包，在水印领域的爱好者可以下载作为参考-Video Watermarking Matlab source, which is the fourth-compressed, Watermark in the field of lovers can download as a reference

hough最长线段检测-Hough Detection

图像处理傻瓜库，包括一些常用的绘图操作，文件处理等。-Image Processing Library fools, including some commonly used drawing operations, such as document processing.

非常白平衡的经典算法，值得看一下。还有GAMMA校正自动曝光，有需要的别忘了下载啊，很不容易才找到的-Very classic white balance algorithm, it is worth a look. There GAMMA correction auto exposure, do not forget to have needed to download ah, is not easy to find the

用matlab编写的基于Harris的角点检测程序，可以运行，很适用-Matlab prepared with Harris on the corner detection process, you can run, it is applicable to

This toolbox contains functions related to image processing, including * images loading and generation. * filtering and blurring functions. * anisotropic and spacially variant filters. * non-linear filtering (median, LIC, bilateral). * High Dynamic Range image loading and equalization. * total variation image processing (denoising and decomposition). * non-wavelets image transforms such as local DCT. * Various helpers functions