imm-sift-生成全景图

用以图像分类，可以设计自己的数据集训练模型(For image classification, you can design your own data set training model)

实现SURF特征点描述子算法，并使用Oxford Dataset图像自动进行精度评价(SURF feature descriptor and matching precision evaluation)

VC++图像平滑处理+程序源码，实现图象的平滑（去噪声），锐化功能，测试时请在C盘下放一个测试用的Bmp图片，路径：C: est.bmp，没有的话没法测试。如上图所示是水平平滑处理，可以对比下，不过感觉颜色失真了，有兴趣的看一下。命令行编译过程如下： 　　vcvars32 　　rc bmp.rc 　　cl smooth.c bmp.res user32.lib gdi32.lib(VC++ image smoothing+ program source code, to achieve a smooth image (to noise), sharpening function in the C drive when testing a test of decentralization Bmp picture, path: C: test.bmp, no words can not test . Is shown above the level of smoothing, you can compare the next, but the feeling of color distortion, interested look. Command-line compiler as follows: vcvars32 rc bmp.rc cl smooth.c bmp.res user32.lib gdi32.lib)

说明：  Goldstein滤波方法matlab的实现，可用与ESPI电子散班，Insar条纹图，指纹图滤波使用！(Goldstein realization matlab filtering method can be used with the ESPI electronic dispersion classes, Insar fringe pattern, the use of fingerprint filtering!)

openCV+MFC（VS2008）canny边缘检测，能用滑动条调节参数(openCV+MFC (VS2008) canny edge detection, use the slider to adjust parameters)

说明：  利用特征提取和分类的方法,假设输入值为{大,圆,光滑}为水果的三个特征值,来代表三种不同的水果,识别苹果\梨\香蕉\桔子\菠萝水果类别. (The use of feature extraction and classification methods, assuming that the import value was (large, round, smooth fruit) for the three characteristics of value, to represent three different types of fruit, to identify Apple \ pear \ banana \ orange \ pineapple fruit category.)

说明：  掌纹识别代码，对图像预处理和特征提取及匹配(Palmprint identification code, the image preprocessing and feature extraction and matching)

关于包络跟踪测试解决方案的说明。介绍了所需的相关仪表以及之间的同步通信(Envelope Tracking)

matlab实现gamma校正的算法，用以调整光照不均的图像。(matlab to achieve gamma correction algorithm to adjust the uneven illumination of the image.)

图像变换检测 主成分分析法 含PDF介绍(iamge change detection using PCA)