BMP

图像检索中经典的SIFT方法matlab实现，由NTU的大牛撰写，做了些批注。(SIFT for image retrieval，feature extraction and matching)

使用CGAL库对人体三维网格分割并且把分割后的网格展开到一个平面上(using cgal to segment a mesh an expend )

SAR SIM 仿真软件，可以参考看看，主要用于SAR雷达的成像仿真(SAR SIM simulation software, can refer to the SAR SIM simulation software, can refer to see)

【实例简介】基于模板匹配的数字图片识别，使用opencv3进行图像处理

说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)

利用matlab对头颅图像进行三维重建的实用算法(Practical three-dimensional image reconstruction algorithm using matlab)

可以将连续图片转换成视频文件，值得参考学习(Convert a continuous image into a video file)

可以用于图像分割的KNN分类器，简单好用！(knn classification)

本程序利用立方体进行标定，从而得到摄像机成像参数(This procedure used to calibrate the cube to get the camera imaging parameters)

用于BMP图像文件的滚动显示，带上下和水平滚动条。(This file is used to display BMP image files, with up-down and horizontal scroll bars.)