在图像匹配中，有很多种算法。在这众多的算法中，SIFT 算法具有良好的尺度、光 照和空间旋转的不变性，所以被广泛的应用于图像匹配当中。本文对SIFT 算法的四个主要 步骤进行了简单的介绍，并将该算法应用到多色二值压缩的压缩算法当中，提高了压缩效率 并且缩小了压缩后的存储空间。-In image matching, there are many kinds of algorithms. In many algorithms, SIFT algorithm has good scale,

个低级的BMP图像读写程序，代码内有丰富的注释。改变灰度图像的颜色表蓝色分量的值,察看前后变化，将图像数据存盘，清除缓冲区，pBmpBuf和pColorTable是全局变量，在文件读入时申请的空间-A low-level BMP image read and write procedures, the code is well commented. Change the gray-scale image of the value of the blue component of the colo

In this code,we are concerned with the numerical minimization of energy functionals in Hilbert Space involving total variation for gray-scale 1-dimensional inpainting problem.Applications are shown by finite element method. see for example : http

These functions take a snapshot of |source_rect|, specified in layer space coordinates (DIP for desktop, physical pixels for Android), and scale the snapshot to |target_size| (in physical pixels), asynchronously.