Image Processing Techniques-based fire detection
Author(s) -
Asif Ahmad,
Osman Sharif Osman
Publication year - 2021
Publication title -
sulaimani journal for engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 2415-6655
pISSN - 2410-1699
DOI - 10.17656/sjes.10145
Subject(s) - ycbcr , rgb color model , computer science , artificial intelligence , computer vision , fire detection , sobel operator , edge detection , image processing , image segmentation , enhanced data rates for gsm evolution , color image , segmentation , image (mathematics) , engineering , architectural engineering
In this paper different fire detection systems and techniques has been reviewed, many techniques have been developed for the purpose of early fire detection in different scenarios. The most accurate technique used among all these methods is Image Processing based Techniques. Different color models like RGB, HSI, CIE L*a*b and YCbCr have been used along with different edge detection algorithms like Sobel and Novel edge detection, finally the color segmentation technique was discussed in the review paper. All the mentioned methods in these papers have significantly proved to detect fire and flame edges in digital images with a timely manner, which has a huge impact on saving life and reducing loss of life.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom