内含测试图片，源码 数字图像处理，256色转灰度图

用VC实现将图片处理转存为C、H或TXT等文本文件，数据格式按液晶模块LCD12864显示要求，可方便单片机实现将图片显示到128X64液晶模块上。-VC realize with a picture to keep for treatment C, H or TXT text files, etc., data format displayed by the LCD module LCD12864 requirements, can be easily single-chip microcomputer to realize the picture shows 128X64 LCD module.

采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化，采用MATLAB编译-Gray-scale transformation using the method of contrast-enhanced images P0304: Histogram of homogenization, using MATLAB Compiler

用最大相似性方法实现独立分量分析算法的matlab代码，可用于盲信号处理和图像滤波器构造。-with the greatest similarity method independent component analysis algorithm Matlab code can be used to blind signal processing and image filter structure.

opencv 读图像,feichangbucuo-opencv

image processing and affine transformation

Description: Adaptive SAR ATR Problem Set (AdaptSAPS) Version 1.0

149个C语言图像处理程序，每一个都是完整的图像处理程序，覆盖了图像处理技术的主要内容-149 C language image processing procedures are complete for each image processing procedure, covering image processing technology, the main content

基于分水岭的迭代式分割算法演示，基于matlab7.6，可有效并且准确的分割目标图像-A demo for image segmentation using iterative watersheding plus ridge detection

用matlab仿真图像超分辨率重建技术中的正则化处理方法-Simulation using matlab image super-resolution reconstruction of the regularization approach

（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.