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A method of using infrared absorption spectrum to detect foreign fibers in cotton is put forward. Based on the analysis of infrared absorption spectrums of cotton fiber and foreign fibers, the characters to distinguish the difference between cotton and foreign fibers are fixed on, and the definition and calculation method of eigenvalues of the fiber are(More)
Acquirement of real-time and overall traffic information is very important for improving road network efficiency and reducing traffic congestion. This paper proposed an improved non-parametric background model to segment the moving vehicles from traffic videos with limited computational complexity and space complexity. With the analysis of characteristics(More)
Acquirement of night traffic information of road net is very important to network comprehensive utilization improvement. Due to interference of vehicle lights at night, it is very difficult to segment vehicles from nighttime traffic video. This paper suggested the average brightness and traffic speed in observing region to characterize traffic states, and(More)
  • Liqun Han
  • 2008 7th World Congress on Intelligent Control…
  • 2008
It is the most important in flue-cured tobacco leaves grading to recognize the parts of tobacco plants where the flue-cured tobacco leaves grown. In this paper, the image processing and analysis are applied in extracting the feature parameters of the tobacco leaves quality, the fuzzy statistics and comprehensive judgment techniques are applied to judge the(More)
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