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http://dx.doi.org/10.15701/kcgs.2022.28.4.23

Image-based fire area segmentation method by removing the smoke area from the fire scene videos  

KIM, SEUNGNAM (Korea University)
CHOI, MYUNGJIN (DeepXRLab. Inc.)
KIM, SUN-JEONG (Hallym University)
KIM, CHANG-HUN (Korea University)
Publication Information
Journal of the Korea Computer Graphics Society / v.28, no.4, 2022 , pp. 23-30 More about this Journal
Abstract
In this paper, we propose an algorithm that can accurately segment a fire even when it is surrounded by smoke of a similar color. Existing fire area segmentation algorithms have a problem in that they cannot separate fire and smoke from fire images. In this paper, the fire was successfully separated from the smoke by applying the color compensation method and the fog removal method as a preprocessing process before applying the fire area segmentation algorithm. In fact, it was confirmed that it segments fire more effectively than the existing methods in the image of the fire scene covered with smoke. In addition, we propose a method that can use the proposed fire segmentation algorithm for efficient fire detection in factories and homes.
Keywords
Fire Segmentation; Fire; Fire Detection; Smoke Removal;
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Times Cited By KSCI : 4  (Citation Analysis)
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