均值聚类法用于各种图像的聚类、分割问题，希望可以对您有利...

图像的点运算 灰度直方图 线性变换 阈值变换 窗口变换 灰度拉伸-Computing the point of the image histogram threshold linear transform transform transform gray window stretching

vc＋＋用于图象处理大部分算法可以取源于c＋＋，而c＋＋取源于c，这里给出多个从c转化道vc＋＋的源程序-vc++ for the majority of image processing algorithms can be obtained from c++, and c++ obtained from c, where c is given a number from the transformation Road, vc++ source code

基于OpenCV的计算机视觉技术实现 作者:陈胜勇 刘盛 等 此书第二章代码1-OpenCV based on computer vision technology: Chensheng Yong Sheng-code such as this book Chapter 1

本压缩包有canny算子的源程序代码和测试图片。-The archive has canny operator of the source code and test images.

在计算机视觉中首先一步是计算每个摄像机的参数(外参和内参)，这是重建物体所必须的，这一个过程称为摄像机定标(camera calibration)。这是我自己写的一个简单的采用3维模板(模板是由黑白相间的格子组成，格子大小30cm×30cm，模板必须是三维，否则矩阵奇异)定标的程序，交互性比较好，每个角点通过鼠标点击自动获取。-Computer Vision in the first step is to calculate the parameters of each camera (outside the Senate and internal), which is necessary for the reconstruction of objects, which a process known as camera calibration (camera calibration). This is what I wrote it myself using a simple 3-dimensional template (template is composed of black-and-white lattice, lattice size of 30cm ?30cm, the template must be three-dimensional, or matrix singular) calibration procedures, better interactivity, each Corner automatic access through mouse clicks.

ROI_PAC著名的遥感图像处理免费软件。可用于InSAR（干涉合成孔径雷达）图像的处理。, -ROI_PAC well-known remote sensing image processing free software. Can be used for InSAR (interferometric synthetic aperture radar) image processing. ,

基于POISSION图像编辑，即图像克隆技术，利用MFC与CXIMAGE编写-POISSION based image editing, that is, image cloning technology, using MFC and the preparation of CXIMAGE

基于VB的图象处理的一个小的应用程序，很好用的-VB-based image processing of a small application, a very good use

这是我自己编写的一个图象处理程序,用C++builder,包括源代码,用 bcb6编译-that I prepared an image-processing procedures, with C builder, including source code, Compiling with bcb6

SIFT算法由D.G.Lowe 1999年提出，2004年完善总结。后来Y.Ke将其描述子部分用PCA代替直方图的方式，对其进行改进。 2 SIFT 主要思想 SIFT算法是一种提取局部特征的算法，在尺度空间寻找极值点，提取位置，尺度，旋转不变量。 -a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a a substantial range of affine distortion, change in 3D viewpoint, addition of noise, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images.