在H.264标准中，要求视频图像处理中环路滤波的C程序

仿射变换法求深度信息，目前最好的方法 function [Z,D11,D12,D22] = diffusion_kernel_function(gx,gy,im) gx,gy 为x,y方向偏导数 Z 为恢复出来的是深度信息。 函数适应于从 图像法相信息恢复高度信息-Affine transformation method the depth of information, is currently the best way to function [Z, D11, D12, D22] = diffusion_kernel_function (gx, gy, im) gx, gy for x, y direction of the partial derivative of Z is out to restore the depth of information. Function adapted from the image information to resume a high degree of information law

本程序用VC实现Harris角点检测的算法，浅显易懂，便于操作。-This procedure VC realize with Harris corner detection algorithm, easy to understand and easy to operate.

本程序主要实现的是半自动的基于特征图像配准，在程序中，需要手工选取特征点，程序将自动寻找到相匹配的特征点，然后自动计算仿射变换参数，并将两幅图像进行拼接，合成一副图像-This procedure is mainly to achieve semi-automatic feature-based image registration, in the process, the need to manually select the feature points, the program will automatically find the matching feature points, and then automatically calculates the affine transformation parameters, and splicing two images , Synthesis of an Image

em算法原理，帮助你理解EM算法，EM算法是 自然语言理解中的经典重要的算法，基本上是 学习自然语言理解的基础-EM algorithm, help you to understand the thereom of EM

图形图像处理函数命令及详细列表，很详细地介绍了图形图像处理函数接口.-Graphic image processing function and a detailed list of commands, it is a detailed description of the graphic interface of image processing functions.

本程序通过VC＋＋实现了BMP图像的梯度锐化-This procedure, through VC to achieve a gradient BMP image sharpening

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是高斯平滑-for image processing, have been tested, the very practical, The main source of Gaussian smoothing

这个是opencv函数的介绍和说明，是目前对opencv函数介绍比较详细的资料。-This is a function opencv introduction and notes, is the introduction of the opencv function more detailed information.

该源码是spiht多集树集合编码算法的图像编码，-The source tree is a collection of episodes SPIHT coding algorithm image coding,

图像特征提取，包括：颜色直方图，颜色矩，边缘直方图，Gabor小波变换，局部二值图，GIST。-Image feature extraction, including: color histogram, color moment, the edge histogram, Gabor wavelet transform, partial binary image, GIST.