关于阈值分割的多种算法及其应用。其中有多阈值分割法，自适应模糊阈值分割 及其一些在红外图片上的应用

（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.

数字图像直方图均衡化，是.txt文档，在matlab环境下运行-digital image histogram equalization, yes. Txt file, run under Matlab

应用C++Builder编写图像处理中的图像格式转化程序-Application of C++ Builder in the preparation of image processing the image format conversion program

the realization of Wiener filter

图像 稀疏分解方法 Random Sampling of Sparse Trigonometric Polynomials II - Orthogonal Matching Pursuit versus Basis Pursuit - (Preprint arXiv:math.CA/0604429) by Stefan Kunis and Holger Rauhut-Image sparse decomposition method Random Sampling of Sparse Trigonometric Polynomials II- Orthogonal Matching Pursuit versus Basis Pursuit- (Preprint arXiv: math.CA/0604429) by Stefan Kunis and Holger Rauhut

含噪数字图像基于小波变换的去噪及效果评价-Noisy digital image denoising based on wavelet transform and Evaluation of

图像处理程序源代码，关于图像的沃尔斯变换处理。-Image processing program source code, on the walls transform image treatment.

基于Gabor滤波器的图像纹理特征提取，Gabor，纹理特征-Gabor filter-based feature extraction of image texture, Gabor, texture features

在matlab上实现一种经高斯平滑的边缘检测算法-In matlab by Gaussian to achieve a smooth edge detection algorithm

最常用的图像处理函数集合，采用类的形式整理出来，包括读写等等 -The most commonly used image processing function of the collection, collation used by the form of categories, including reading and writing, etc.