用VC编写的RGB到YUV422转换小程序

基于c++BUILD的图像噪声处理，有各种滤波法去除各种噪声，还有添加各种噪声的方法-Based on c++ BUILD deal of image noise, there are a variety of filtering method to remove all kinds of noise, there are ways to add a variety of noise

本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.-Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information.

数字图像处理，实现基本的图象的锐化，模糊，统计功能-Digital image processing, the realization of the basic image sharpening, fuzzy, statistical functions

这是K均值聚类算法 对图像颜色进行聚类 然后对图像分割源代码-This is the K-means clustering algorithm for image clustering and then color image segmentation source code

BMP图片处理程序，包括平滑，锐化，直方图统计，增强等。-BMP picture processing procedures, including Smooth, Sharpen, histogram, so on.

我的一个图像处理作业，实现了基本的图像处理功能，希望那个对你有用-one of my image processing operations to achieve the basic image processing functions, in the hope that this be useful to you

霍夫曼编码的具体方法：先按出现的概率大小排队，把两个最小的概率相加，作为新的概率 和剩余的概率重新排队，再把最小的两个概率相加，再重新排队，直到最后变成1。每次相 加时都将“0”和“1”赋与相加的两个概率，读出时由该符号开始一直走到最后的“1”， 将路线上所遇到的“0”和“1”按最低位到最高位的顺序排好，就是该符号的霍夫曼编码。-Huffman code specific Methods: according to their probability of emergence of the size of the queues, the two smallest sum probability, as a new probability and the probability of the remaining re-queue, and then the smallest sum of two probabilities, and then re-queue until the last turn into one. Every time when the sum will be

多姿态人脸数据库，可用于非理想条件下人脸识别中的姿态估计问题，包括63种不同姿态，人脸水平方向旋转角度从-60度到60度，角度间隔15度，竖直方向旋转角度为-60度，-30度，-15度，0度，15度，30度，60度。-face database including 63 different poses，can be used in pose estimation of face recognition under unsatisfied condition.

粒子滤波的五个经典例子，需要的赶紧下，对与学习部分内容很有帮助-Particle filter five classic example of the need to hurry, the right part of the contents and learning very helpful

模板匹配：双向梯度迭代(BDGM)匹配算法-template matching : two-way gradient iteration (BDGM) Matching Algorithm