用Canny算子进行边缘检测 的 函数 文件，大家可以尝试的用用，都是基于matlab平台的。...

face recognition source code

经典图书[1999] Level Set Methods and Fast Marching Methods-Book: [1999] Level Set Methods and Fast Marching Methods, Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Science by . A. Sethian University of California, Berkeley

模式识别的特征识别可有多种方法，同时每种方法都有着一定的局限性，这里给出一种比较通用的方法来进行识别-Pattern Recognition feature recognition can have a number of ways, while each method has certain limitations, here given a more general approach to identify the

matlab数字图象处理 -Matlab digital image processing digital image processing Matlab Matlab digital image processing

此程序用于中值滤波 采用了一定的算法 滤波效果比较好-medium

本程序是遗传算法求极值,有助于对遗传算法的理解-This procedure is a genetic algorithm for extreme value, contribute to the understanding of the genetic algorithm

LSB算法实现,delphi 编写，-LSB algorithm, delphi prepared

帧缓存块的旋转，采用c语言代码完成，实现帧缓存块的旋转。-Frame buffer block rotation, using c language code completion, to achieve the rotation of the frame buffer block.

这是一个完成各种数字图像水印的算法的程序，里面也实现了dct，fft，以及水印的改进算法，程序移植性好-This is a complete range of digital image watermarking algorithm procedure, which also realize the dct, fft, as well as to improve the watermarking algorithm, transplantation procedures and good

（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.