自己编写的菜单小程序，水平有限．交流第一．多多指正．

伪Zernike矩特征提取，Zernike矩特征提取，供参考，很有用-Pseudo-Zernike moment feature extraction, Zernike moment feature extraction, for reference, very useful

图象平滑处理系统，主要实现对图像边沿的平滑处理 。-Image Processing System, the main achievement of the 2500 image smoothing.

基于混合高斯的背景建模与阴影抑制算法研究,背景建模，目标检测-Based on Gaussian mixture background modeling and shadow suppression algorithm, background modeling, target detection

图像的预处理程序，包括图像的剪切、锐化和滤波除噪-Image pre-processing procedures, including images of the cut, sharpening and Noise Filtering

图像的快速傅立叶变换，基于VC++开发平台。-images of fast Fourier transform, based VC development platform.

应用vc++语言提取图像的不变矩输出结果。这是提取经典的七个不变矩的值，速度很快-Application vc++ Language extracted image moment invariants output. This is the extraction of the classic seven moment invariants of the value of fast

使用VC写的SIFT程序，并能够将转换前后的两张图片的关键点进行比对-SIFT programs written using the VC, and be able to convert the two images before and after the key points of comparison

（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.

实现图像的中值滤波处理，从而实现对图像的处理-finish the process of median filtering

对偶复树小波以及去噪， 包含1维二维三维的程序实现-Dual tree complex wavelet and the noise, including the one-dimensional two-dimensional three-dimensional program