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浙江大学学报(工学版)
J4  2013, Vol. 47 Issue (2): 216-222    DOI: 10.3785/j.issn.1008-973X.2013.02.004
机械工程     
基于相位一致性的转炉出钢下渣检测方法
陈灵光1, 李培玉1, 孙大成2, 夏军1
1.浙江大学 机械工程学系,浙江 杭州 310027；2.中钢设备有限公司,北京 100080
Converter tapping slag detection method based on phase congruency
CHEN Ling-guang1, LI Pei-yu1, SUN Da-cheng2, XIA Jun1
1. Department of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China;
2. Sinosteel Equipment & Engineering, Beijing 100080, China
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摘要：

针对当前转炉出钢下渣检测系统检测准确性不高、使用寿命短、安装维护困难等问题,提出基于相位一致性的红外下渣检测方法.通过对转炉出钢下渣过程和钢水钢渣混流图像特征的研究,构造改进的相位一致性模型,并利用正交的logGabor滤波器组求解模型.该算法很好克服传统边缘检测方法容易受到亮度、对比度以及噪声影响的缺点,能够检测到清晰并且连续的钢渣边缘.工业现场试验结果表明,该方法在提高红外转炉出钢检测系统的检测准确率和控制钢包渣厚两方面效果明显.
关键词：
Abstract:

 In order to solve some problems of converter tapping slag detection system, such as low accuracy, short service life, inconvenient installation and maintenance, a new infrared slag detection method based on phase congruency was developed. Through analyzing the process details of converter tapping and the characteristics of the molten steel and slag mixed image, a new model with phase congruency was constructed and the model was calculated via logGabor filters in quadrature. The traditional edge detection methods are vulnerable to the brightness, contrast and noise, while this algorithm based on phase congruency can overcome such shortcomings and detect a clear and continuous edge of slag. Industrial test results show that the method is effective to improve accuracy of infrared slag detection system and control thickness of slag in ladle.
出版日期: 2013-02-01
:  TF 713.7  
通讯作者: 李培玉,男,副教授.     E-mail: lipeiyu@zju.edu.cn
作者简介: 陈灵光（1987—）,男,硕士生,从事工业检测及图像处理方面研究.E-mail: chenlingguang@yahoo.com.cn
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引用本文:

陈灵光, 李培玉, 孙大成, 夏军. 基于相位一致性的转炉出钢下渣检测方法[J]. J4, 2013, 47(2): 216-222.

CHEN Ling-guang, LI Pei-yu, SUN Da-cheng, XIA Jun. Converter tapping slag detection method based on phase congruency. J4, 2013, 47(2): 216-222.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2013.02.004    或    http://www.zjujournals.com/eng/CN/Y2013/V47/I2/216

［1］ JULIUS E, THEISSEN W, BLOCK F R. Function and application of electromagnetic slag detection system ［J］. World Steel & Metalworking, 1987, (8): 56.
［2］ GOLDSTEIN D A, SHARAN A, STOFANNAK J A. Infrared imaging for BOF slag detection ［J］. Iron & Steelmaker, 2000, 27(7): 31.
［3］ RAU H,VON ROPENACK. Application of thermographic slag detection ［J］. Metallurgical Plant and Technology International, 2002, 25(1): 52-55.
［4］ 肖志涛,候正信,国澄明.基于相位信息的图像特征检测算法：对称相位一致性［J］.天津大学学报,2004,37(8): 695-699.
XIAO Zhi-tao,HOU Zheng-xin,GUO Chengming. Image feature detection technique based on phase information: symmetry phase congruency ［J］.Journal of Tianjin University, 2004, 37(8): 695-699.
［5］ ROBBINS B, OWENS R. 2D feature detection via local energy ［J］. Image and Vision Computing,1997,15(5): 353368.
［6］ 邓拥军,王伟,钱成春,等.EMD方法及Hilbert变换中边界问题的处理［J］.科学通报2001,46(3): 257-263.
DENG Yong-jun, WANG Wei, QIAN Chen-chun, et al. EMD method and Hilbert transform in the handling of border issues ［J］.Chinese Science Bulletin, 2001,46(3): 257-263.
［7］ 傅一平,李志能,袁丁.用于多类型边缘提取的最佳Gabor滤波器设计［J］.浙江大学学报工学版,2004,36(7): 839-844.
FU Yi-ping, LI Zhi-neng, YUAN Ding. Design of opitimized Gabor filter for multiedges detection ［J］. Journal of Zhejiang University Engineering Science, 2004, 36(7): 839-844.
［8］ KOVESI P. Symmetry and asymmetry from local phase ［C］∥ Proceedings of Tenth Australian Joint Conference on Artificial Intelligence. Australia: ［s.n.］, 1997: 185-190.
［9］ FIELD D.J. Relations between the statistics of natural images and the response peoperties of cortical cells ［J］. Journal of the Optical Society of American, 1987 A4(12): 2379-2394.
［10］ PEDRO F, DANIEL P. Efficient graphbased image segmentation ［J］. International Journal of Computer Vision,2004,59(2): 167-181.
［11］ 郑李明,王兴松. 斜拉桥拉索径向畸变CCD图像的边缘检测与图像提取［J］. 机械制造与自动化,2008,37(6): 107-110.
ZHENG Li-ming, WANG Xing-song. Edge detection and Image extraction for radial distortive CCD image of cable on cablestayed bridge ［J］. Machine Building & Automation, 2008,37(6): 107-110.
［12］ 吴洪森,冯志林,周佳男,等.基于相位场模型的提花织物图像分割算法［J］.浙江大学学报工学版,2008,42(3)： 444-449.
WU Hong-sen,FENG Zhi-lin,ZHOU Jia-nan.Segmentation algorithm for jacquard image based on phase field mode ［J］. Journal of Zhejiang University Engineering Science , 2008, 42(3): 444-449.
［13］ 冯斌,王璋,孙俊.基于量子粒子群算法的Ostu图像阈值分割［J］.计算机工程与设计,2008,29(13): 3429-3434.
FENG Bin, WANG Zhang, SUN Jun. Image threshold segmentation with Ostu based on quantum-behaved particle swarm algorithm ［J］. Computer Engineering and Design, 2008,29(13): 3429-3434.
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