• Journal of Atmospheric and Environmental Optics
  • Vol. 7, Issue 6, 463 (2012)
Hai-bin WU*, Hou-wei ZHOU, Tie-yi ZHANG, Xin-bing CHEN, Yu-run ZHOU, and Zhe WANG
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1673-6141.2012.06.010 Cite this Article
    WU Hai-bin, ZHOU Hou-wei, ZHANG Tie-yi, CHEN Xin-bing, ZHOU Yu-run, WANG Zhe. Segmentation Image Using Dynamic Combined Global Threshold Based on OTSU[J]. Journal of Atmospheric and Environmental Optics, 2012, 7(6): 463 Copy Citation Text show less

    Abstract

    In the case of image gray distribution without significant double peaks and the complex background, the dynamic image segmentation method combined with global threshold has good adaptability. The global threshold of near-infrared image s, and the threshold value of the small-block images d are evaluated by the method of OTSU, and the threshold matrix D with the original image by the bilinear interpolation algorithm. Finally, the structure of threshold matrix T and segmentation of image are completed by adjusting the scale coefficient k. This method can effectively split images of the furnace tube in petrochemical refinery.
    WU Hai-bin, ZHOU Hou-wei, ZHANG Tie-yi, CHEN Xin-bing, ZHOU Yu-run, WANG Zhe. Segmentation Image Using Dynamic Combined Global Threshold Based on OTSU[J]. Journal of Atmospheric and Environmental Optics, 2012, 7(6): 463
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