三维立体图像方面，关于图像处理的matlab源程序。

MATLAB实现基于互相关的亚像素级图像配准源代码,MATLAB_Image_subpixel_Mutual_info-MATLAB-based cross-correlation of sub-pixel image registration source code, MATLAB_Image_subpixel_Mutual_info

稿件名称：VC图像处理－－边缘检测篇 稿件作者：耿迅 程序名称：ImageTest5 运行环境：Win XP； 注意事项：-Manuscript name: VC Image Processing- Edge Detection Part manuscripts Author: Geng Xun Name: ImageTest5 operating environment: Win XP Note:

SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 -a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a a substantial range of affine distortion, change in 3D viewpoint, addition of noise, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images.

图像处理，缩放处理，采用线性插值，效果较好-Image processing, scaling processing, linear interpolation, better-performing

内含测试图片，源码 数字图像处理，256色转灰度图-Containing the test images, source of digital image processing, 256-color to grayscale

小波软阈值去噪，具有较高的SNR,是一种自适应阈值算法-Wavelet soft-threshold de-noising with high SNR, is an adaptive threshold algorithm

张兆理编著现代图像处理技术及Matlab实现-Zhao-Li ed of modern image processing techniques and Matlab implementation

LSB算法生成数字水印的例子，具有可执行文件，并且提供程序，同时有水印提取的算法源码，对学习数字水印的朋友比较实用-LSB digital watermarking algorithm example, with an executable file, and to provide procedures, at the same time have the watermark extraction algorithm source, on learning of digital watermarking Friend more practical

openCV的学习程序，希望和朋友们一起学习交流！-openCV learning process, hope and learning exchanges with friends!

cif文件为视频格式。根据西交侯志强 ，韩崇昭教授，基于像素灰度归类的背景重构算法，编写。 -cif file for the video formats. According to West Zhi-Qiang Hou, Professor Han Chongzhao, grayscale pixel-based background reconstruction algorithm classified the preparation.