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Fire Recognition Using RGB and YCBCR Color Space

Nor Anis Aneza, Lokman and Norsyahirah Izzati, Zaidi and Mohd Razali, Daud and Khor, Ai Chia and Hendriyawan, Achmad (2015) Fire Recognition Using RGB and YCBCR Color Space. In: International Conference on Electrical, Control and Computer Engineering 2015, 27-28 Oct 2015 , Kuantan, Pahang. . (Unpublished)

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Abstract

This project was inspired by the imperfect of vision based system to detect fire which sometimes causing detection of false alarm due to the interruption of environment (lighting). In this work, a system for fire recognition is developed based on a set of rules of conforming the value of R, G, B, Y, Cb and Cr component in an image. The performance of the system is tested on one hundred images of fire and non-fire, and they are taken during morning, afternoon and evening to ensure the system is robust to different surrounding brightness. However, the images will undergoes several steps of pre-processing to minimize noises. As a result, both color spaces, RGB and YCbCr have high detection rate of fire which is 90% and 100% respectively. YCbCr color space shows the best performance compared to RGB because it can separate luminance from chrominance more effectively than RGB color space.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Fire recognition, Image processing, RGB, YCbCr color space
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 19 Nov 2015 07:08
Last Modified: 05 Feb 2018 07:39
URI: http://umpir.ump.edu.my/id/eprint/11273
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