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利用opencv高斯混合背景建模，并进行开闭运算滤波， 提取视频监控中的车辆(Using opencv Gaussian mixture background modeling and opening and closing operation filtering to extract vehicles in video surveillance)

视频分割的matlab 程序,是用matlab开发的一个视频分割程序(Matlab video segmentation procedures are developed using matlab a video segmentation process)

说明：  一个立体视觉匹配程序，采用matlab编写(A stereo vision matching program, prepared using matlab)

基于OpenCV的hough变换检测图像直线,本代码能够识别焊缝跟踪功能。(OpenCV based hough transform to detect linear image, the code can identify seam tracking.)

It initializes the entire image processing. The simulation parameters can be changed in this main file.

这个程序实现的是任意一个输入波长转化它的RGB分量，是由著名的色度图上转化而来(This program is to achieve an arbitrary wavelength of an input into its RGB components is determined by well-known color chart conversion from)

本代码是描述图像融合的一个综合性代码，其中包括对图像变换提升等一系列试验方案(The code is described in an integrated image fusion of code, including the transformation of images, such as a series of pilot programs to enhance)

首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。(In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wavelet packet transform and threshold de-noising. Firstly, the non-stationary fault signal is decomposed into several different frequency band components through dual-tree complex wavelet packet decomposition. Secondly, Kurtosis and the cross-correlation coefficient of each component are obtained and compared. Due to the kurtosis reflecting the signal variations, if the kurtosis value is bigger, the degree of the change of signal is bigger too. The correlation coefficient can reflect the proximity between the component and the original signal at the same time, the correlation coefficient is bigger, the more similar with the original signal. Finally, the components that have a bigger value are chosen to be de-noised by a soft threshold and reconstructed by dual-tree complex wavelet packet transform. The noise interference was eliminated effectively, and the effective si)

用灰度模板匹配和灰度模板快速匹配两种算法实现了对两个图像的配准。(Matching two pictures with algorithms of modeling and fast modeling .)