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Smoke and fog Detection in Images

Freceena Francis1 , Maya Mohan2

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-06 , Page no. 54-57, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6si6.5457

Online published on Jul 31, 2018

Copyright © Freceena Francis, Maya Mohan . 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: Freceena Francis, Maya Mohan, “Smoke and fog Detection in Images,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.06, pp.54-57, 2018.

MLA Style Citation: Freceena Francis, Maya Mohan "Smoke and fog Detection in Images." International Journal of Computer Sciences and Engineering 06.06 (2018): 54-57.

APA Style Citation: Freceena Francis, Maya Mohan, (2018). Smoke and fog Detection in Images. International Journal of Computer Sciences and Engineering, 06(06), 54-57.

BibTex Style Citation:
@article{Francis_2018,
author = {Freceena Francis, Maya Mohan},
title = {Smoke and fog Detection in Images},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {06},
Issue = {06},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {54-57},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=444},
doi = {https://doi.org/10.26438/ijcse/v6i6.5457}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.5457}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=444
TI - Smoke and fog Detection in Images
T2 - International Journal of Computer Sciences and Engineering
AU - Freceena Francis, Maya Mohan
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 54-57
IS - 06
VL - 06
SN - 2347-2693
ER -

           

Abstract

Images of outside scenes are typically degraded by the cloudy or opaque medium in the atmosphere. Haze, fog, and smoke in atmosphere are such phenomena because of atmospheric absorption and scattering. Due to the smoke or fog in the atmosphere, the irradiance received by the camera from the scene point is attenuated along the line of sight. Smoke and Fog in images can be distinguished based on their physical appearance and density variations. To distinguish these images, features such as SIFT, HOG, LBP features are extracted and are trained using SVM classification model. Smoke and Fog in images can be tested successfully that the image belongs to which class after training the images.

Key-Words / Index Term

Detection, Fog, HOG, LBP, SIFT, Smoke, SVM

References

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