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Stochastic Video Signal's Automatic Identification and Image Reproduction

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2 Author(s)
Mingxiu Lin ; Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern University Shenyang, Liaoning Province, China ; Guangliang Han

In order to realize the automatic extraction of stochastic signal's horizontal synchronization frequency and the stable reproduction of video image, different image features of horizontal synchronization blanking signal under different deviation are analyzed, and spectrum analysis algorithm of horizontal synchronization frequency, texture feature extraction algorithm of slope image and phase feature extraction algorithm of drifting image are put forward. Based on the three algorithms, the hierarchical automatic recognition algorithm is put forward to automatically control the adjusting of the horizontal synchronization frequency and realize the reproduction. The algorithm was applied in the automatic interception system of computer video leaking information, and quick interception and stable reproduction of computer video leaking information were achieved.

Published in:

2007 2nd IEEE Conference on Industrial Electronics and Applications

Date of Conference:

23-25 May 2007