work

Gabor小波进行特征提取，实现人脸识别(Gabor Wavelet Feature Extraction to Achieve Face Recognition)

求取信号的峰值点。可以通过设置信号峰值范围、信号幅度来确定特定的峰值点。(The peak point of the signal to strike. Can set the scope of the signal peak, the signal range to determine the specific point of the peak.)

输入待分解图像的数据矩阵 可以显示原始图像以及其尺度2的小波分解图 小波包函数可在函数中自行修改(The input matrix of the image to be decomposed can display the original image and the wavelet packet function of the wavelet decomposition graph of scale 2 can be modified by itself in the function.)

1.首先从文件菜单打开程序目录下的car.avi视频,系统将显示视频的第一帧。 2.点击背景提取菜单，稍后会提取出背景并显示在打开的第二个窗口中。 3.当提取出背景后，点击检测跟踪菜单，对车辆进行检测和跟踪。 4.点击轨迹绘制菜单，绘制车辆的轨迹。 注：由于使用OpenCV打开AVI视频文件需要视频解码器，故在程序运行前请在电脑上先安装DivX类型的的视频解码器，否则将出现无法打开文件的错误。本程序使用的是OpenCV2.1版本，在没有安装此版本软件的机器上运行时需要将cv210.dll,cvaux210.dll,cvcore210.dll,highgui210.dll,ml210.dll这五个文件拷贝至*.exe可执行文件下。(First, open the CR. AVI video from the file menu and the system will display the first frame of the video. 2. Click on the Background extract menu and the background will be extracted later and displayed in the open second window. 3. When the background is extracted, click on the Test Tracking menu to test and track the vehicle. 4. Click on the trajectory drawing menu to map the trajectory of the vehicle. Note: Since a video decoder is required to open an AVI video file using OpenCV, install a DivX-type video decoder on the computer before the program runs, otherwise an error will occur that can not open the file. The program uses OpenCV2 .1, which requires five files to be copied to *, cv210. DLL, cvaux 210. DLL, cvcore 210. DLL, highgui 210. DLL, ML 210. DLL. Exe under executable.)

harris角点检测算法，代码可以通过修改sigma, thresh, radius, disp的值控制角点数量。(harris corner detection algorithm, the code can be by modifying the sigma, thresh, radius, disp corner of the value of quantity control.)

outlook风格的界面例子(Outlook style interface example)

说明：  自己编写的matlab程序，用于广义高斯分布的形状参数估计。(Matlab have written procedures for the generalized Gaussian distribution shape parameter estimation.)

SIFT，SURF，MSER函数库,包括MATLAB和C++源程序(SIFT SURF MSER function)

说明：  该方法在传统的极化SAR滤波Lee方法上增加了自适应窗口处理以及滤波参数预估计等步骤，有效的提高了传统的滤波方法的抑制相干斑的能力，同时能够很好的保持极化SAR图像的极化散射特性。(in the traditional method of increasing polarization SAR Lee adaptive filtering window processing and pre-filtering parameters estimation step, effectively improve the traditional filter method of inhibiting the ability to spot coherent while being able to maintain a good polarization scattering characteristics of SAR images.)

Canny算子的分步骤实现，基于C语言，一共6部分，学习图像处理参考(Canny operator steps to achieve, based on the C language, a total of 6 parts, the study of image processing reference)