One Extended OTSU flame Image recognition Method Using RGBL and Stripe segmentation
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 Otsus 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.
Flame Image segmentation OTSU method Stripe segmentation RGBL method
Weigang Yan Changjian Wang Jin Guo
State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Ahhui,230026, P.R.China
国际会议
台湾
英文
2141-2145
2011-12-11（万方平台首次上网日期，不代表论文的发表时间）