minboundrect

有关粒子滤波及其改进算法的资料，对初学粒子滤波算法的人很有帮助(Information about particle filter and its improved algorithm, is of great help to beginners of particle filter algorithm )

基于小波变换的数字图像降噪的源代码，利用改进的小波阈值法进行图像去噪(Digital image noise reduction based on wavelet transform source code, improved wavelet thresholding method for image denoising)

说明：  给图像加高斯白噪声,里面有详细的代码，我不知道该说些什么，只是觉得很好(gaussian noise Why must I be forced to write so many words?)

自动匹配下拉列表框中的内容,根据所选下拉列表框的不同去加载不同的名片(Automatic matching of the drop-down list box in the content, according to the selected drop-down list box is different to load a different card )

静态图像显著性分析程序，利用matlab开发。加州理工三位教授所写。(Software] Saliency Map Algorithm : MATLAB Source Code Below is MATLAB code which computes a salience/saliency map for an image or image sequence/video (either Graph-Based Visual Saliency (GBVS) or the standard Itti, Koch, Niebur PAMI 1998 saliency map). See the included readme file for details. I also have a newer, simpler version implementing only the Itti algorithm (see simpsal/readme.txt). Please try it out and email me if you have any questions. Download: Please select one of the following to download: [gbvs.zip] This package includes an implementation of the full GBVS algorithm. It also lets you compute an Itti, Koch, Niebur saliency map. It includes a function for computing the ROC score between eye-movements (provided as x,y fixation points) and a saliency map, and a function for displaying a saliency map overlayed on top of an image (as in the screenshot below). Right after you download the zip file, you must change into the gbvs/ directory and run: >>)

目标跟踪的两个算法，分别是运动变化和基于高斯权值的颜色空间HSI的meanshift算法(Two target tracking algorithm, namely, Gaussian-based movement and the right to change the value of the HSI color space meanshift algorithm)

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)

orl人脸库，40个人，每人10幅图像。(orl face database, 40 individuals, 10 images per person.)

本工程收集了多种常用条码的生成方法

这个程序实现了光流法对运动物体的识别，效果还行(This program implements the optical flow method to identify moving objects, the results were OK)