An Image Restoration Method for Improving Matching Robustness of Indoor Smoke Scene

Smoggy interference caused by indoor fires makes machine vision technology challenging to apply in the fire rescue field. Smoke and condensed water vapor aerosol from suppression activities limit visibility, making image matching difficult. To overcome this problem, an image restoration method for i...

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Bibliographic Details
Published in:	Fire technology Vol. 61; no. 2; pp. 483 - 511
Main Authors:	Liang, Bowen, Tao, Yourui, Song, Yao, Li, Xinze
Format:	Journal Article
Language:	English
Published:	Norwell Springer Nature B.V 01.03.2025
Subjects:	Algorithms Clustering Data analysis Fire prevention Image processing Image restoration Indoor environments Machine vision Matching Optical flow (image analysis) Outliers (statistics) Random sampling Real time Robustness Smog Smoke Statistical sampling Water vapor
ISSN:	0015-2684, 1572-8099
Online Access:	Get full text
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