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Publicité

Early Fire Smoke Image Segmentation in a Complex Large Space

Auteur(s):



Médium: article de revue
Langue(s): en 
Publié dans: The Open Construction and Building Technology Journal, , n. 1, v. 9
Page(s): 27-31
DOI: 10.2174/1874836801509010027
Abstrait:

Aiming at the problem that the fire smoke image segmentation algorithm cannot obtain integral smoke information, the adaptive background updating smoke foreground object extraction algorithm based on block segmentation is proposed. According to the characteristics that the smoke internal pixels continuously roll in the heat of the driver and the pixel concentration from near the fire source to edge decreases in turn, the method for different blocks using different difference threshold is adopted to ensure the integrity of the extracted foreground target. Under the difference between the current frame and the background frame, block difference thresholds are updated to let the differential threshold adjustment with continuous adaptive monitoring. In the new weighted average updated background image corrected by the original background image, the interference suspicious target edge pixels are removed. Simulation experimental results show that the method is able to extract more complete information of smoke in a suspected area of the edge, and eliminate the interference of light and pedestrian in complex space.

Copyright: © 2015 Hu Yan, Wang Huiqin, Zhao Qian, Lu Ying
License:

Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original.

Publicité

  • Informations
    sur cette fiche
  • Reference-ID
    10381433
  • Publié(e) le:
    22.11.2019
  • Modifié(e) le:
    22.11.2019