Open Unmanned Laboratory Security Monitoring Based on Thresholding
In order to ensure the safe operation of open unmanned laboratories,a remote security monitoring meth-od for open unmanned laboratories was proposed.The method first divided the monitoring window into four sub-win-dows,and compared the weighted mean value with the preset threshold,and thus to accurately distinguish noise points from signal points.Then,an edge protection filter algorithm was introduced to reconstruct the gray values of polluted noise pixels.After the filtering process,an improved background difference method was used to extract the background area in the video of the open unattended laboratory.Moreover,the foreground of laboratory image was extracted by the subtraction between the pixels of adjacent images in video stream.After that,the image was thresholded.Meanwhile,the motion area of the open unmanned laboratory was marked.Finally,the remote security monitoring was realized.Through simulation analysis,it has been proven that the proposed method can obtain more accurate monitoring results while effectively reducing monitoring delays.
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维普
