bmptodcm完整版本,可编译,http://cimg.sourceforge.net/download.shtml 下载Cimg...

完整的程序，提供测试视频帧。根据视频帧中图像的形状进行运动估计-integrity of the procedures for testing video frames. According to Video Frame Image Motion Estimation shape

小波去噪指标RMSE和MSE的代码，希望能给大家带来帮助-Wavelet Denoising indicators RMSE and MSE of the code, I hope everyone can help

灰度AGV路径识别 彩色AGV路径识别 HSI彩色空间的AGV路径识别 路径中心线的定位 Radon变换的AGV路径偏差检测-AGV path identification gray color AGV path identification HSI color space to identify the path of the AGV path of the centerline of the positioning of Radon Transform AGV path deviation detection

高效的图像显示代码。缩放平移等操作非常顺畅。-Efficient image display code. Zoom operation is very smooth pan and so on.

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.

这篇文章是发表在08年ACM上的一篇图像检索综述，作者是PSU大学的博士毕业生，作者参考了300多篇文献，非常细致的讲述了image retrieval近几年的算法，方法，以及发展方向。-This article was published in the 2008 ACM on an image retrieval review, the author is a Ph.D. graduate PSU University, the authors made reference to more than 300 literatures, very careful about the image retrieval in recent years, algorithms, methods, and direction of development.

这是关于数字图像处理编程入门的，里面包含各章节典型的VC++程序，可供新入门着参考学习。-This is programming on the digital image processing of the entry, which contains chapters typical VC++ Procedures, the reference entry for the new learning.

VC＋＋源代码，难得的图像搜索算法，可以很好的用于基于内容的图像检索中-VC++ source code, a rare image search algorithm can be very good for Content-Based Image Retrieval

背景消除方法：利用多维高斯混合模型，建立背景模型。虽然速度慢了点，但是方法很好，希望能给大家一点帮助:)

可以对图象的纹理进行分析，包括图象的能量，熵，惯性矩，局部平稳性等-On an analysis of texture images, including images of energy, entropy, moment of inertia, partial stationarity, etc.