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Automated System for Computationof Burnt Forest Region using Image Processing

Bibek Ranjan Ghosh1 , Siddhartha Banerjee2 , Attyuttam Saha3

Section:Research Paper, Product Type: Conference Paper
Volume-04 , Issue-01 , Page no. 25-31, Feb-2016

Online published on Feb 26, 2016

Copyright © Bibek Ranjan Ghosh, Siddhartha Banerjee, Attyuttam Saha . 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: Bibek Ranjan Ghosh, Siddhartha Banerjee, Attyuttam Saha, “Automated System for Computationof Burnt Forest Region using Image Processing,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.01, pp.25-31, 2016.

MLA Style Citation: Bibek Ranjan Ghosh, Siddhartha Banerjee, Attyuttam Saha "Automated System for Computationof Burnt Forest Region using Image Processing." International Journal of Computer Sciences and Engineering 04.01 (2016): 25-31.

APA Style Citation: Bibek Ranjan Ghosh, Siddhartha Banerjee, Attyuttam Saha, (2016). Automated System for Computationof Burnt Forest Region using Image Processing. International Journal of Computer Sciences and Engineering, 04(01), 25-31.

BibTex Style Citation:
@article{Ghosh_2016,
author = {Bibek Ranjan Ghosh, Siddhartha Banerjee, Attyuttam Saha},
title = {Automated System for Computationof Burnt Forest Region using Image Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2016},
volume = {04},
Issue = {01},
month = {2},
year = {2016},
issn = {2347-2693},
pages = {25-31},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=29},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=29
TI - Automated System for Computationof Burnt Forest Region using Image Processing
T2 - International Journal of Computer Sciences and Engineering
AU - Bibek Ranjan Ghosh, Siddhartha Banerjee, Attyuttam Saha
PY - 2016
DA - 2016/02/26
PB - IJCSE, Indore, INDIA
SP - 25-31
IS - 01
VL - 04
SN - 2347-2693
ER -

           

Abstract

Fire is one of the major problems that are causing great loss to property and ecosystem in today’s world. Fires not only affect the characteristics of forests but it also affects human lives and livelihood. Due to the lack of specific techniques for calculation of burnt regions of forests, researchers use different methods. In this research, an automated approach is developed to determine the significant burnt area of forest using different image processing techniques. The proposed method is compared with other existing methods and is found to be capable in more precise measurement of the burnt area.

Key-Words / Index Term

Thresholding, Erosion, Dilation, Region leveling

References

[1] N. Otsu, "A threshold selection method from gray-level histograms". IEEE Trans. Sys., Man., Cyber. 9 (1), 1979, pp: 62–66.
[2] H. G. Firouzjaee, H. Hassanpour and A. Shahbahrami, “Computing the Burnt Forest Regions Using Digital Image Processing”,Journal Of Advances in Computer Research ,Vol. 3( 4), November 2012.
[3] P. Pawar, P. Deshkar, P. Rokade, “Computation of burnt forest regions using digital image processing”, International Journal for Engineering Applications and Technology,ISSN: 2321-8134.
[4] R.C. Gonzalez,R. E. Woods,“Digital Image processing”,3rd Edition,Prentice Hall,2009.
[5] R. Haralick, S. Sternberg, and X. Zhuang, “Image analysis using mathematical morphology”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9(4), pp. 532.550, July 1987.
[6] H.Heijmans, “Morphological image operators”, Advances in Electronics and Electron Physics. Academic Press, 1994.
[7] J. Serra., “Mathematical Morphology and Its Applications to Image Processing”, Kluwer Academic Publishers, Boston (1994).