figure5_25

关于导频的算法，可以给一些新手提供一些帮助，但是不敢保证一定正确，请见谅(About pilots algorithm can give some newcomers to provide some help, but can not guarantee a certain right , please forgive me)

说明：  基于opencv平台编写的单目相机标定程序，使用的张正友的方法，只要准备十二张单目相机拍摄的棋盘格的图片就可以标定出单目相机的焦距等参数，建立单目相机坐标系。可以用于机器视觉测量中，也可以用于双面相机标定的前一步，精度很高。(Based on the monocular camera calibration program compiled by the OpenCV platform, the method of Zhang Zhengyou is used to calibrate the focal length and other parameters of the monocular camera and establish a monocular camera coordinate system as long as 12 pieces of chessboard pictures taken by the monocular camera are prepared. It can be used in machine vision measurement, and it can also be used in the previous step of the calibration of the double-sided camera, with high precision.)

按照指定分隔符将已知字符串分割成个部分，并以cell存储(In accordance with the specified separator known string divided into parts, and cell storage)

hog 特征 基于matlab的 RGB提取(realize the hog feature)

cbir matlab code gui, for retri image

线性同余伪随机数发生器、小数开方伪随机数发生器、利用Logistic方程和混合光学双稳模型产生混沌序列产生的序列矩阵(Linear congruence pseudo-random number generator, decimal square pseudo-random number generator, using Logistic equation and hybrid optical bistable model to generate sequence matrix generated by chaotic sequence)

非线性贝叶斯过滤与应用估算和导航，非常不错的粒子滤波英文论文(Nonlinear Bayesian filtering with applications to estimation and navigation)

说明：  该压缩包内含有基于梯度金字塔变换的多模态图像融合方法的MATLAB代码，可以直接运行，得到融合结果。另外，压缩包内包括了多组已配准、待融合的图像示例，具体包括红外图像与可见光图像、CT与MR图像，多聚焦图像。本人还对代码进行了必要的解释。推荐下载(The compression package contains matlab code of multimodal image fusion method based on gradient pyramid transformation, which can be run directly to get fusion results. In addition, the compressed package includes several groups of images that have been registered and to be fused, including infrared images and visible images, CT and MR images, and multi focus images. I also gave the necessary explanation to the code. Recommended download.)

说明：  MATLAB工具箱，《数字图像处理》冈萨雷斯版专用，网上不少人在找，这是我从国外网站下载的，贡献出来。(MATLAB toolbox, )

Visual Tracking via Locality Sensitive Histograms.基于局部敏感直方图的目标跟踪算法，该算法在CVPR2013中出现，算法较简单但却非常有效，值得各位研究视觉跟踪算法的同行研究(Visual Tracking via Locality Sensitive Histograms)