ENVIMNFTrans

基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。程序运行前须安装（1）OpenCV: http://opencvlibrary.sourceforge.net （2）SIFT: http://web.engr.oregonstate.edu/~hess/index.html，并配置其环境参数。(OPENCV the SIFT-based feature extraction and matching algorithm. Contains a complete Gaussian pyramid from the image, DOG, space extremum point extraction, description of key points, KDtree matching key step in the realization of the full function of the comprehensive and in-depth understanding of Lowe s SIFT algorithm of tremendous help. Program to run before the installation of (1) OpenCV: http://opencvlibrary.sourceforge.net (2) SIFT: http://web.engr.oregonstate.edu/ ~ hess/index.html, and configure the parameters of their environment.)

非下采样轮廓波变换与二维主分量分析的循环模式计算(nonsubsambled contourlet transform and two dimensional principle component analysis cycle module calculation)

视频格式转换 这里主要是mpeg格式 转化为avi，yuv等多种格式(Video format conversion here is mainly converted to avi mpeg format)

Texture Segmentation using Gabor Filters 纹理图像分割 包括一个pdf文件，几个m文件(Texture Segmentation using Gabor Filters texture image segmentation include a pdf document, several m files)

数字图像处理和图像识别的vc++编程方法(Digital image processing and image recognition of the vc++ Programming)

用于通过三维激光点云数据生成二维的地理参考特征图像，此处以高程作为特征(Used by 3 d laser point cloud data to generate two-dimensional geographical characteristics of reference image, the elevation as features)

对图像进行简单处理，对光斑圆拟合，求圆心与半径(Simple processing of the image, fitting the spot circle, finding the center of the circle and radius)

说明：  matlab下使用帧差法实现视频跟踪，提供了一个测试视频和完整的说明文档 已验 无错 放心使用 改一下视频路径即可(matlab to use the frame difference method for video tracking, provides a test video and full documentation is error-free ease of use experience to change the path to your video)

matlab,图像分割手势，不是用摄像头的，是将图片输入进去识别使用MATLAB进行图像分割(Matlab, image segmentation gesture, not with the camera, is to input pictures to identify the use of MATLAB image segmentation)

说明：  去除图像中的横向条纹，能有效恢复出原始图像(remove images of horizontal stripes, can be effectively restored from the original image)