One Extended OTSU Flame Image Recognition Method Using RGBL and Stripe Segmentation

Abstract:

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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:

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 et al., "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:

$35.00

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