to achieve Histogram equalization

黑魔方图象处理代码，适用vc++开发。很实用-image processing code applies vc development. Practical

30个图像处理的VC++ 源代码，包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化（边缘检测）, 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡.-30 image processing VC++ Source code, including 256 colors to grayscale, Hough transform, image_j1, PCA, Walsh transform, contrast stretching, binarization transformation, anti-color, box encoding, Fourier Transform , Gaussian smoothing, gray balance, mean filter, Laplacian sharpening (edge detection), discrete cosine transform, the brightness increases and decreases in inverse filtering deal, check on the number of check index, the gradient sharpening, image processing, mirror image, image translation, image scaling, image thinning, image rotation, Wiener filtering treatment using Canny edge extraction operator, threshold transform, histogram equalization.

gdal的安装说明，很详细，可以安装成功。GDAL是功能强大的地理信息图像处理库，很多用都会用到，其安装方式多种多样，但未必都能安装成功。-gdal installation instructions, very detailed and can be installed successfully. GDAL is a powerful GIS image processing libraries, a lot of use will be used, the installation of a variety of ways, but not necessarily be able to install successfully.

读取YUV视频图像的源程序，可以播放YUV视频。-YUV video images to read the source code, you can YUV video playback.

实现对PGM图像的显示和处理功能，不是控制台的程序-Realize on the PGM image display and processing functions, not the console procedures

一个C代码的263编码器，还不错，给大家分享！-a C code 263 encoder, but also good for everyone to share!

基于阀值的阈值分割：由灰度直方图可以看出谷值即是阀值，然后分割出来目标图像。-Based on the threshold of the threshold segmentation: histogram can be seen from the valley that is, threshold, and then divided by the target image.

人脸表情识别 技术 ,实现了简单的人脸识别-Facial Expression Recognition technology, the realization of a simple face recognition

This collection of m-files will only get you through the very bear necessities (Look for the ...) of a single-run fMRI-analysis. Its actual aim is to illustrate the efficacy of spatial regularisation of the autocorrelation esimate in the framework of prewhitening the data to correct for serial correlations in the data, as described in the following paper: Gautama, T. and Van Hulle, M.M. (2004), Optimal Spatial Regularisation of Autocorrelation Estimates in fMRI Analysis, NeuroImage, in press.

利用VC++和小波变换技术，对动态图像进行处理。-the process of dynamic image