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J4  2011, Vol. 45 Issue (2): 222-227    DOI: 10.3785/j.issn.1008-973X.2011.02.005
江俊, 李培玉, 唐任仲
浙江大学 机械与能源工程学院,浙江 杭州 310027
Level set based slag detection method for BOF
vessels tapping images
JIANG Jun, LI Pei-yu, TANG Ren-zhong
College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China
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Infrared images of basic oxygen furnace (BOF) vessels tapping stream always had harsh noise,small grayscale difference between target objects and blur edges. It’s difficult to achieve the target region segmentation and slag detection. In order to solve these problems, a level set based slag detection method for BOF vessels tapping images was put forward. First, according to distribution characteristics of molten steel and slag contours, the active contour model of Chan-vese were improved to construct a double-contours of curve evolution function. Then using the level set method to solve model, the segmentation of the region and its gray value could be obtained easily by minimizing double-contours of curve evolution. Finally, in terms of regions’ gray values, molten steel and slag could be identified, and slag ratio be calculated. Experiment shows the high adaptability, noise immunity and accuracy of our method, which can be impressive usefully implemented in Infrared thermal imaging slag detection for BOF vessels tapping.

出版日期: 2011-03-17
:  TF 713.7  
通讯作者: 李培玉,男,副教授.     E-mail:
作者简介: 江俊(1983—),男,浙江杭州人,博士生,从事转炉出钢下渣检测及图像处理的研究.E-mail:
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江俊, 李培玉, 唐任仲. 基于水平集的转炉出钢图像钢渣检测方法[J]. J4, 2011, 45(2): 222-227.

JIANG Jun, LI Pei-yu, TANG Ren-zhong. Level set based slag detection method for BOF
vessels tapping images. J4, 2011, 45(2): 222-227.


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