图形变换和消隐，matlab guide编写

图像恢复的几个程序，旋转恢复是用vc写的，其余是matlab的，这几个程序比较挑图像，如果一幅效果不好，换一个做，图像恢复程序大都这样。

基于神经网络的识别程序，程序采用三层BP网络训练，采用了普通定义中加入动量因子的训练法，精确度很高。-based on neural network identification procedures, procedures adopted a three-tier network training BP, with its definition of momentum into the training factor, a high degree of precision.

微软亚洲研究院MRA图像检索论文有参考价值-Microsoft Asia Research Institute MRA image retrieval papers reference value

包含了图象的所有几何变换处理,可运行.适合图象处理的入门学习.-Contains all the images deal with geometric transformations can be run. Suitable for image processing to study entry.

用VC++实现矢量地图背景下的实时显示源代码-With VC++ Realize vector map in the context of real-time display the source code

数字图像处理源代码 具体实现数字图像各经典算法，并附有界面。-digital image processing source code specific digital images of the classic algorithms, together with interface.

理想低通滤波,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.-ideal low-pass filter, the final results showed. Photo will be directly extracted and procedures on the same document folder.

针对摄像机固定和共面约束条件下进行目标定位,提出了一种简单可行的全新算法。该算法避开了烦琐的摄像机标定这一过程,也不用精确地求解单应性矩阵。只是运用射影几何的性质,通过简单的几何关系,对非标定单摄像机拍摄的单幅图像,求解其从2D图像平面到真实的3D平面的非线性单映射关系。该算法为解决计算机视觉的测量、定位、三维重建等问题,提供一种全新的思路。 -against cameras fixed and coplanar binding conditions for target location, a simple new algorithm. The algorithm avoid the cumbersome process of the camera calibration, and it does not accurately be solved single matrix. Just use projective geometry of nature, by simple geometry, orders for non-standard video camera in a single image. Solving its two D images from two-dimensional to three real plane D nonlinear single map. The algorithm to solve the measurement of computer vision, positioning, three-dimensional reconstruction, with a brand new idea.

This toolbox contains functions related to image processing, including * images loading and generation. * filtering and blurring functions. * anisotropic and spacially variant filters. * non-linear filtering (median, LIC, bilateral). * High Dynamic Range image loading and equalization. * total variation image processing (denoising and decomposition). * non-wavelets image transforms such as local DCT. * Various helpers functions