基于分类网格量化的图像压缩算法，用来压缩图像。是一种非常优秀的图像压缩算法。...

由于只是利用图像的灰度信息，sl 算法不能很好地区分形状相似但颜色不同的物体：针对这一问题，提出了一种基于彩 色的SIFT特征点提取算法，并着重分析了多种彩色模型对算法性能的影响?这种算法也是在图像的灰度尺度空间上检测特征点， 但其特征向量由各描述子子区域的彩色模型分量的均值组成并在原始的彩色图像上进行计算：实验结果证明了该算法的有效性。-Abstract：Because only the gray scale information is utilized．the SIFT method can’t differentiate the objects with similar shape but with diferent colors commendably．1,1 order to solve such problem．presents a color―based SIF I feature point detecting method and analyzs the method’S performance in temas of diferent color models The method detected interest points in the gray image scale space，and its eigem eetors al’e composed of the mean 、 alues of different color model components in each subregion and are computed based on the Ol。iginal color images．Tile experimental results have proved its validity

A set of matlab funcitons used in the field of digital image processing (pattern recognition).

matlab聚类，应用平均值法求新的聚类中心-matlab clustering, the application of the cluster center average method novelty

傅立叶描述子，用于提取形状的特征。c++编写-Fourier descriptors for the extraction of shape features. c++ prepared

SAR图像中有很多质量问题，增益是其中之一，这里提供了SAR图像中增益检测的算法-SAR image quality of a lot of issues, one of which is Gain, here to provide a SAR image detection algorithm Gain

SIFT是一种特征值抽取算法，2004年提出，是一种与大小，角度，亮度无关的强大新算法。-SIFT is a feature abstract algrithm. It s proposed in 2004. It s a strong algrithm invarient of scale, orient and illumination.

MATLAB 给图像添加各种噪声：如椒盐噪声，高斯噪声、乘性噪声等等。-MATLAB add all kinds of noise to the image: If salt and pepper noise, Gaussian noise, multiplicative noise and so on.

封装好的sift匹配库，只需输入两幅图像和拉普拉斯金字塔参数就可以求出对应的匹配点和基础矩阵。资源含dll,lib和.h文件，并提供了一个测试程序。使用十分便捷-Packaging good sift matching database, simply enter the two images and the Laplacian pyramid can be calculated parameters corresponding match point and the fundamental matrix. Resources including dll, lib and. H files, and provides a test procedure. Very convenient to use

利用OpenCV 的人脸检测与定位,对于初学者学习OPENCV 和Visual c++d的使用将是相当有帮助的-OPENCV AND Visual c++ 6.0开发的计算机视觉

这是一个数字图像处理的实验，有用的东西，希望大家相互学习！-This is a voice signal processing courseware, useful things that I hope we learn from each other!