通过hough变换求图像中的圆的参数（圆心坐标和半径）

YUV播放工具，功能强大。可以支持多种格式的YUV文件播放，并可以进行YUV分析。-YUV player tools and powerful. Can support multiple formats of YUV file playback, and analysis can be YUV.

信息压缩中一种常见的编码---霍夫曼编码的源程序代码-Information Compression in a common coding- Huffman coding of the source code

一个打开图片并将其转变为黑白图片的程序及其工程文件。需要预安装OpenCV。若有任何问题联系chenxiang@cad.zju.edu.cn-Open a picture and convert it into a black-and-white picture of the process and its engineering documents. Need to pre-install OpenCV. If you have any questions contact chenxiang@cad.zju.edu.cn

图像处理。。 histogram specification-image processing. . Histogram specification

偶然找到一个VC源码，用它里面的类可以产生类似于JAVA应用中的水纹、火焰以及熔浆效果。本人感觉这个代码非常棒(很COOL)，不敢独享，特拿出来和大家(同道中人)一起分享!-occasionally find a VC source, using it inside the class can have a Java application similar to the watermarked, flame and melts effect. I feel pretty good this code (very COOL), not exclusive, special show to you (fellow human) to share!

用VC实现将图片处理转存为C、H或TXT等文本文件，数据格式按液晶模块LCD12864显示要求，可方便单片机实现将图片显示到128X64液晶模块上。-VC realize with a picture to keep for treatment C, H or TXT text files, etc., data format displayed by the LCD module LCD12864 requirements, can be easily single-chip microcomputer to realize the picture shows 128X64 LCD module.

来自于VC++数字图像处理典型算法及其实现这本书，对于初学者有很大的帮助。-very usrful,from a classical book

Hough变换快速实现多圆检测的算法。没有使用循环，但内存需求大。-Hough transform and more quickly realize the algorithm for circle detection. Do not use the cycle, but the memory demand.

转动、碰撞的三维地球- Rotation, collision three dimensional Earth

这里包含三个高质量的Gabor实现代码，分别基于C、OpenCV、Matlab，大家各取所需吧。Gabor变换可以实现在多个尺度、多个方位上的变换，尤其是对于纹理的检测有很好的效果，研究表明Gabor特征符合人眼感受野特性。 -Here are three high-quality implementation of the Gabor code, respectively, based on C, OpenCV, Matlab, let everyone take what we need. Gabor transform can be achieved in a number of scales, a number of position on the transformation, especially for the detection of texture have very good results, the study shows that the characteristics in line with Gabor receptive field characteristics of the human eye.