负责显示BMP文件的一些源码，主要用于识别纹理类图形的初始化，方便后续识别...

高斯随机噪音程序，做理论模型数据时，一般会加高斯随机噪音，以模拟实际数据-Gaussian random noise process, make the theoretical model data, they generally will be Gaussian random noise to simulate the actual data

非常好的图形图象处理程序，具有很多滤镜和图象处理方法，功能强大。-Very good graphics image processing procedures, a lot of filters and image processing methods and powerful.

图像处理计算中用到的矩阵计算函数,主要是一些常用的函数-image processing used in the calculation of matrix calculation function is mainly a function of some commonly used

一个在VC下做三维显示的代码.做的很简单,只有一些简单的功能-VC under a three-dimensional display of the code to do.

这是一个人脸检测代码，在VC下编写的，本人感觉对图像处理专业的同学非常有用，特地拿来分享-This is a face detection code, prepared in the VC, I feel for the image processing professional students very useful, specially used to share

老版本的分水岭算法程序，在有些情况下是需要的-Older versions of the watershed algorithm procedure, in some cases, it is necessary to

sltoolbox (Statistical Learning Toolbox) organizes a comprehensive set of matlab codes in statistical learning, pattern recognition and computer vision. It includes 256 m-files in 24 categories, which are from low-level computational routines to high-level frameworks and algorithms

Textmode Texture Mapping,Plasma, and 3D

一个运动估计运算的MATLAB文件，本人已经测试过，非常有用。-A motion estimation MATLAB file operations, I have been tested, very useful.

（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.