用C语言开发的维纳滤波处理的图像，算法…

梯形低通滤波,最后显示处理结果. 直接解压后将图片和程序放在同一个文件夹里.-trapezoidal low-pass filter, the final results showed. Photo will be directly extracted and procedures on the same document folder.

此程序通过遗传算法(ga )实现灰度图像的分割,遗传算法的计算过程首先是将实际的优化问题编码成符合串,-This procedure through the genetic algorithm (ga) realize grayscale image segmentation, genetic algorithm calculation process is to first of all, the actual coding optimization problem into line with the string,

彩色图像分割算法，首先基于直方图粗分，而后通过kmeans细分，得到分割结果-Color image segmentation algorithm, first, rough segmentation based on histogram and then broken down by kmeans get segmentation results

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

对弱小显示的动态目标进行检测，并且添加边缘检测，和加上反色检测-Show that the dynamic of the small target detection, and add edge detection, and combined with the anti-color detection

Moving average in 1D and 2D

数字图像处理中一个重要的滤波器，带走文档的详细描述。

聚类问题的matlab程序,聚类问题在图像处理中有着广泛的应用-Clustering problem matlab procedures, clustering problem in image processing has a broad application

（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.

好东西，希望大家支持，好不容易在网络上找到的图象处理类库文件。-Good things, I hope you will support, the network finally found a document image processing class library.