In some situations, as in the first two examples, it is not a problem because there is not much contrast, but on other situations, when there is strong contrast (eg dark subject against bright background), the fringe is annoying, in particular in the out of focus areas.

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This text mainly is to panorama video frequency picture, the usage partitions new calculate way automatically according to the video frequency object of timespace consociation at preparing processing stage's ash to video frequency sequence degree diagram to carry on a partial contrast degree to strengthen a processing, increasing foreground object and the contrast degree of background, the filter which passes 3 ×s 3 templates filters in addition to contrast degree strengthen after of lead go into of a little amount 噪 voice;Then aim at the circumstance of complicated background, the calculate way in the text puts forward the covariance characteristic backlog which makes use of immediately signal to get the background that the calculate way needs, overcoming the irregularity that the handicraft obtains background, carrying out a background information to obtain automatically;The standpoint put forward a background backlog finally to categorize a discussion in the process, solved object stop sport time is longer result in the partition throw the problem for losing.

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By comparing the common edge detection algorithms, the magniloquent Kirsch edge detection algorithm is selected to process the result of background subtraction. The result of edge detection is denoised by mathematical morphology method. Shadow edge restrained arithmetic and detection-line-based background updating method are presented. Shadow edge restrained arithmetic reduces vehicle shadow edge efficaciously. Background updating precision is improved by presented background updating method.

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The preliminary chromatogram data were resolved with Mallat algorithm of wavelet analysis theory. This method that resetting the high frequency signals, reconstructing low frequency and then correcting the background signals in the original signal was to avoid the data skewness with negative digital points after background correction and achieve the baseline correction; according to the study and analysis of simulated data including curve background and real data of the needle-plate and free metal partials insulation defects, the method is effective; the best wavelet function of the background correction is Db5 and the best resolution times of the background correction is 8 for chromatogram data of SF_6 decomposition products, based on the calculation with different wavelet functions and resolution times.

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The motionless backgroup situation usually happens at the video camera parked to opposite quiescent condition , the first wipe off yawp by using pretreatment method,the second using the method of difference Statistic in two frame to analyse and compute background , Above this base to utilize the resumeed background and present frame message detect movement target and it"s movement track ; In dynamic backgroup movement image,it is very difficult to exactly compute ground since the background is varied complexly , the article research the optical flow model欧美一级片综合操、 background model色色视频看片、 moving object detection based on entropy,and depart target from background in movement picture , detect moving target and plain it"s track.

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In this method, all stable sub-intervals in the training sequence were located for each pixel as possible background. Then a classify data set was constructed by the median values of each subinterval. A background subset was obtained from the data set by unsupervised clustering. Accordingly the initialized background was obtained from the background subset.

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We find the linear Introduction-Background-Method-Results-Discussion structure, complicated with cyclicity.

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