화재 현장 영상에서 연기 영역을 제외한 이미지 기반 불의 영역 검출 기법
Image-based fire area segmentation method by removing the smoke area from the fire scene videos
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초록
본논문에서는불이비슷한색의연기로둘러싸여있더라도정확하게검출할수있는알고리즘을제안한다.기존불영역검출알고리즘들은 화재이미지에서 불과 연기를 잘 분리해내지 못하는 문제점이있었다. 본 논문에서는 불 영역 검출 알고리즘을적용하기 전에 전처리 과정으로써 색상 보정 기법과 안개 제거 기법을 적용함으로써 성공적으로 불을 연기로부터 분리해냈다. 실제로 연기로 뒤덮인 화재 현장의 이미지들에서 기존 기법들보다 불을 더 효과적으로 검출하는 것을 확인할 수 있었다. 또한 제안한 화재 검출 알고리즘을 공장, 가정 등에서 효율적인 화재 탐지를 위해 사용할 수 있는 방법을 제안한다.
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.
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