Automated System for Computationof Burnt Forest Region using Image Processing

Authors

  • Ghosh BR Departmentof Computer Science Ramakrishna Mission Residential College, Narendrapur, Kolkata-
  • Banerjee S Department of Computer Science Ramakrishna Mission Residential College, Narendrapur, Kolkata-
  • Saha A Department Of Computer Science Ramakrishna Mission Residential College, Narendrapur, Kolkata-

Keywords:

Thresholding, Erosion, Dilation, Region leveling

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.

References

N. Otsu, "A threshold selection method from gray-level histograms". IEEE Trans. Sys., Man., Cyber. 9 (1), 1979, pp: 62–66.

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.

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.

R.C. Gonzalez,R. E. Woods,“Digital Image processing”,3rd Edition,Prentice Hall,2009.

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.

H.Heijmans, “Morphological image operators”, Advances in Electronics and Electron Physics. Academic Press, 1994.

J. Serra., “Mathematical Morphology and Its Applications to Image Processing”, Kluwer Academic Publishers, Boston (1994).

Downloads

Published

2025-11-11

How to Cite

[1]
B. R. Ghosh, S. Banerjee, and A. Saha, “Automated System for Computationof Burnt Forest Region using Image Processing”, Int. J. Comp. Sci. Eng., vol. 4, no. 1, pp. 25–31, Nov. 2025.

Issue

Vol. 4 No. 1 (2016): IJCSE Special Issue February Edition

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.