操纵位图的开发包,适合初学者使用,简洁方便。

图象的几何变换 打开一幅位图，实现几何变换 命令行编译过程如下 vcvars32 rc bmp.rc cl geotrans.c bmp.res user32.lib gdi32.lib-Images of geometric transformations to open a bitmap, geometric transformations realize the process of command-line compiler is as follows vcvars32rc bmp.rccl geotrans.c bmp.res user32.lib gdi32.lib

关于国内最新的信息融合技术，用于图像的处理中-Domestic-to-date information on the integration of technology for image processing

实现运动目标的检测和跟踪，需要配置OpenCV-Realize moving target detection and tracking, need to configure the OpenCV

（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.

快速傅里叶变换程序，用MFC详细编程

这是俄罗斯的一个博士的博士论文的配套源码，实现了GRAPH CUT用于立体视觉的匹配，它改善了传统GRAPH CUT计算耗时的缺点，他还因此称为微软一员，专门从事GRAPH CUT在图像处理上的应用。程序写的很精简，写的很好，反复学过很多遍，这也是C/C++爱好者提高编程能力的一个很好的学习样本，很值得仔细反复阅读。-This is a Russian doctoral thesis, Dr. supporting source, realize the GRAPH CUT for stereovision matching, which improves the calculation of time-consuming traditional GRAPH CUT shortcomings, he also is why they are called a Microsoft, which specializes in GRAPH CUT in image processing applications. Procedures written in very concise, well written, repeatedly studied many times before, this is C/C++ Lovers programming ability to enhance a good learning samples, it is worth reading carefully repeated.

图像增强的matalab程序，里面有基于小波的，contourlet变换的，拉普拉斯塔等的增强，比较详细，有说明文件里面-Matalab image enhancement procedures, which have based on the wavelet, contourlet Transform, etc.拉普拉斯塔enhanced, more detailed, it has documentation

jpeg解码程序，采用VC++编辑，是自己的课题的一部分-jpeg decoder procedures, using VC editors, the issue is part of the

含有pca和kpca算法，具有很好的在图像处理方面的应用-contain pca and kpca algorithm, is very good in image processing the application

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。-simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.