duiying

区域邻接图的合并规则，在进行区域合并时可以使用，希望对大家有用(region merging for region adjecent gragh，might it be help for you.)

说明：  harris检测 +ncc粗配+ransac去除错误点(harris detection. ncc coarse. ransac remove the error point)

背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码(The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" folder is your current working directory. 2. Edit "bs.m" and "classify.m" so that the file paths point to the proper directories as specified. 3. In the MATLAB environment type "bs" which will train the background model from the sequence you specified in (2). 4. In the MATLAB environment type "classify" which will classify the sequence of images you specified in (2). 5. Now the classified images should be saved to disk in the folder you specified in (2).)

图像检索，从600多张图片中检索出与目标图片相似度最高的。按照相似度顺序排列。(Image retri , retrieved more than 600 pictures in most similar to the target image. They are arranged in order of similarity.)

低信噪比下红外弱小目标的检测与跟踪，采用的是基于粒子滤波检测前跟踪算法。(Low SNR infrared small target detection and tracking using front tracking algorithm based on particle filter detection.)

C++ GUI Programming with Qt 3不用再详细解释了吧，下载试一下就知道了(C GUI Programming with Qt 3 do not have a detailed explanation of it, Download trial will know what)

简易二值化演示易语言源码，例程程序使用嵌套循环改变画板颜色演示了图像二值化的简单过程。(Simple binary demonstrate easy language source code , a routine procedure uses nested loop Sketchpad color change demonstrates the binary image of a simple process .)

这是matlab官方网站的一个快速实现svd分解的函数，通过对矩阵的截断加速(This is a quick realization svd decomposition function matlab official website, through the cut-off acceleration matrix)

分别利用 Roberts、Prewitt和 Sobel 算子对原图像进行边缘检测和锐化。(Respectively use Roberts, Prewitt and Sobel operator on edge detection and sharpening the original image.)

光流运动中经典的LUCAS-CANADE-TOMASI算法。内中有附说明和图片。(optical flow movement classical Lucas-CANADE- TOMASI algorithm. With a description and photo attached.)