Flame Luminance Enhancement using Chromaticity Pigmentation for Real Time Fire Detection
Gokul Choudhary1 , Pankaj Pandey2
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-10 , Page no. 115-120, Oct-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i10.115120
Online published on Oct 31, 2018
Copyright © Gokul Choudhary, Pankaj Pandey . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Gokul Choudhary, Pankaj Pandey, “Flame Luminance Enhancement using Chromaticity Pigmentation for Real Time Fire Detection,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.10, pp.115-120, 2018.
MLA Style Citation: Gokul Choudhary, Pankaj Pandey "Flame Luminance Enhancement using Chromaticity Pigmentation for Real Time Fire Detection." International Journal of Computer Sciences and Engineering 6.10 (2018): 115-120.
APA Style Citation: Gokul Choudhary, Pankaj Pandey, (2018). Flame Luminance Enhancement using Chromaticity Pigmentation for Real Time Fire Detection. International Journal of Computer Sciences and Engineering, 6(10), 115-120.
BibTex Style Citation:
@article{Choudhary_2018,
author = {Gokul Choudhary, Pankaj Pandey},
title = {Flame Luminance Enhancement using Chromaticity Pigmentation for Real Time Fire Detection},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2018},
volume = {6},
Issue = {10},
month = {10},
year = {2018},
issn = {2347-2693},
pages = {115-120},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2990},
doi = {https://doi.org/10.26438/ijcse/v6i10.115120}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i10.115120}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2990
TI - Flame Luminance Enhancement using Chromaticity Pigmentation for Real Time Fire Detection
T2 - International Journal of Computer Sciences and Engineering
AU - Gokul Choudhary, Pankaj Pandey
PY - 2018
DA - 2018/10/31
PB - IJCSE, Indore, INDIA
SP - 115-120
IS - 10
VL - 6
SN - 2347-2693
ER -
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Abstract
Fire detection is a technique through which fire or flame can be detected that alarm in crucial situation. Fire should be detected at real time and required action supposed to be taken immediately. Fire can be detected either by physical sensors or image processing. Some, remote area like forest requires real time detection but physical sensor cannot be placed at well that image processing is more powerful in such areas. Most of the image based recognition technique is processed through flame color detection. Flame color possesses yellow, red and orange that belongs to RGB and CMY color models. Here the proposed system focuses on flame luminance enhancement that increases the color intensity of flame through which fire can be detected with high level of accuracy. Proposed system uses HSL and CMY color models along with chromaticity pigmentation technique that allows to increase particular color intensity for higher true acceptance rate that reduces true rejection rate.
Key-Words / Index Term
Fire Detection, Flame Luminance, Chromaticity Pigmentation, HSL, RGB and CMY color models
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