Design of Fire Detection System based on YCbCr Color Specification Model |
Author(s): |
| Vivek Kumar Srivastava , Nielit gorakhpur; Shri. A. G. Rao, NIELIT Gorakhpur |
Keywords: |
| Fire Detection, Image Processing, Rule Based Color Model, Image Segmentation |
Abstract |
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A best approach for fire detection using image processing technique is proposed. A rule based color model for fire pixel classification is used. The derived algorithm uses RGB and YCbCr color space model. The advantage of using YCbCr color space is that it can separate the luminance from the chrominance more effectively than RGB color space. The performance of the proposed algorithm is tested on two sets of images, one of which consists fire; the other contains fire-like regions. Standard methods are used for calculating the performance of the algorithm. The proposed method has both higher detection rate and lower false alarm rate. Since, the algorithm is cheap in computation it can be used for real time forest fire detection. |
Other Details |
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Paper ID: IJSRDV5I60418 Published in: Volume : 5, Issue : 6 Publication Date: 01/09/2017 Page(s): 874-877 |
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