Open Access   Article

Efficient Fire Pixel Segmentation Using Color Models in Still Images

M.Senthil Vadivu1 , Vijayalakshmi M.N2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 23-28, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.2328

Online published on Sep 30, 2018

Copyright © M.Senthil Vadivu, Vijayalakshmi M.N . 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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Citation

IEEE Style Citation: M.Senthil Vadivu, Vijayalakshmi M.N, “Efficient Fire Pixel Segmentation Using Color Models in Still Images”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.23-28, 2018.

MLA Style Citation: M.Senthil Vadivu, Vijayalakshmi M.N "Efficient Fire Pixel Segmentation Using Color Models in Still Images." International Journal of Computer Sciences and Engineering 6.9 (2018): 23-28.

APA Style Citation: M.Senthil Vadivu, Vijayalakshmi M.N, (2018). Efficient Fire Pixel Segmentation Using Color Models in Still Images. International Journal of Computer Sciences and Engineering, 6(9), 23-28.

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Abstract

Forest Fire causes more disasters to the environment. Detecting the fire in the early stage will play a crucial role to prevent the risky effects. The vision-based approaches have gained more impact than the conventional fire detection methods with respect to accuracy and less false alarms. A reliable and efficient computer vision based technique to retrieve fire-colored pixels in still images is proposed in this article. It adopts both RGB and L*a*b* space for segmenting the fire-colored pixels on colour feature. The proposed results are compared with the current methods. The results of proposed method bring satisfactory results than the existing techniques.

Key-Words / Index Term

Object detection, Color Spaces, Thresholding, Segmentation

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