Paper Title:
One Extended OTSU Flame Image Recognition Method Using RGBL and Stripe Segmentation
  Abstract

This paper proposes a new image segmentation algorithm to detect the flame image from video in enclosed compartment. In order to avoid the contamination of soot and water vapor, this method first employs the cubic root of four color channels to transform a RGB image to a pseudo-gray one. Then the latter is divided into many small stripes (child images) and OTSU is employed to perform child image segmentation. Lastly, these processed child images are reconstructed into a whole image. A computer program using OpenCV library is developed and the new method is compared with other commonly used methods such as edge detection and normal Otsu’s method. It is found that the new method has better performance in flame image recognition accuracy and can be used to obtain flame shape from experiment video with much noise.

  Info
Periodical
Chapter
Chapter 4: Mechatronics and Information
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
2141-2145
DOI
10.4028/www.scientific.net/AMM.121-126.2141
Citation
W. G. Yan, C. J. Wang, J. Guo, "One Extended OTSU Flame Image Recognition Method Using RGBL and Stripe Segmentation", Applied Mechanics and Materials, Vols. 121-126, pp. 2141-2145, 2012
Online since
October 2011
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Price
$32.00
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