该程序主要介绍的是有关图像处理的大部分程序，包括图像的显示、二值化、图像的锐化和平滑等等程序。...

houph变换，通过梯度函数得到图像的梯度矩阵，通过检测圆检测眼睛位置。-houph transform, through the gradient function to be the image gradient matrix, circle detection by detecting the location of the eyes.

系统介绍了消息传递界面MPI 基础-集群通信 与派生数据类型-Systematically introduce the message passing interface MPI-based- cluster communications and derived data types

MATLAB语言中图像数据与信息的读取方法,绘制灰度直方图的方法，理解灰度直方图的灰度变换及均衡化的方法。-MATLAB Image data and information to read, drawing gray histogram, Gray understanding of gray histogram equalization and transform the way.

基于pca降维的特征不变特性变换方法（sift），希望对研究特征提取的朋友有帮助！-PCA dimensionality reduction based on the characteristics of the same characteristics of transformation method (sift), hope that the study of feature extraction has to help a friend!

converts a given image from cartesian coordinates to polar coordinates. 此code可以将一个Iris image变成一个polar coordinates image-converts a given image from cartesian coordinates to polarcoordinates. This code can be an Iris image into a polar coordinates image

灰度直方图平衡的子程序，直接应用该函数做灰度图像的平衡，附带RGB和HSI图像空间的互相转化-Histogram subroutine balanced, direct application of the function to do the balance of gray image, with RGB and HSI image space to transform

打开tiff文件的一个简单程序，内附一幅测试图像。不同的tiff文件可能不支持，是研究tiff文件格式的一个很好的例子-Tiff files to open a simple procedure, and inserting a piece of test images. Different tiff files may not support, is to examine the tiff file format of a good example

一个非常优秀的屏幕转换成AVI文件的程序，值得-an excellent screen AVI file conversion process, it is worth a look at

（1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 -(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.

visual c++数字图象处理典型算法及实现-visual c++ typical digital image processing algorithm and realize