作者：刘忠奎1, 葛俊锋2, 张羽鹏1, 张兴1
作者单位：1. (中航工业)沈阳发动机设计研究所, 辽宁 沈阳 110015;
2. 华中科技大学自动化学院, 湖北 武汉 430074
关键词：示温漆;自动判读算法;颜色温度特性曲线;颜色空间
摘要：
在总结国内外示温漆自动判读算法研究现状的基础上,详细讨论现有算法的优缺点,进一步研究示温漆的自动判读技术。通过引用红外特征的方法,并采用图像融合将其与示温漆颜色特征组合成新的图像数据,然后提取出新的图像数据的统计特征,采用机器学习算法自动建立等温线和像素点温度识别模型,两种模型相结合用于示温漆温度自动判读,达到提高示温漆测温准确度的目的。
Study on the automatic temperature recognition technology of thermal paint
LIU Zhongkui1, GE Junfeng2, ZHANG Yupeng1, ZHANG Xing1
1. Shenyang Engine Design and Research Institute, Shenyang 110015, China;
2. School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract: The advantages and disadvantages of existing algorithms for automatic temperature reading were discussed and the automatic temperature reorganization techniques of thermal paint were researched according to the summarization of current research at home and abroad on automatic temperature recognition algorithm of thermal paint. Infrared feature was introduced in combination with color feature to form new image data by image fusion. Afterwards, statistical features were extracted from these new data, and two temperature identification models for isotherm line and pixel were automatically created by machine-learning algorithm. The two models were used to automatically identify the thermal paint to improve its temperature-measuring accuracy.
Keywords: thermal paint;automatic recognition algorithm;color-temperature curve;color space
2015, 41(9): 20-23 收稿日期: 2015-2-3;收到修改稿日期: 2015-3-30
基金项目:
作者简介: 刘忠奎(1968-),男,辽宁沈阳市人,高级工程师,研究方向为航空发动机测试技术研究与应用。
参考文献
[1] 马春武. 示温漆温度自动判读与数字图像处理研究[D].南京:南京航空航天大学,2008.
[2] 徐凤花. 示温漆技术在航空发动机高温部件表面温度测试上的应用研究[D]. 成都:电子科技大学,2009.
[3] Griffin A, Dittler J, Windeatt T, et al. Techniques for the interpretation of thermal paint coated samples[C]∥IEEE. Proceedings of Int Conf on Pattern Recognition 1996. Vienna:IEEE,1996:959-961.
[4] Griffin A, Windeatt T, Stoddart A J, et al. A Markov random fields approach for interpreting thermochromic paint [C]∥IEEE Proceedings of Int Conf on Pattern Recognition 1998. Brisbane:IEEE,1998:1741-1743.
[5] Smith M. Interpretation of thermal paints:Europe, EP0947813[P].1999-03-19.
[6] Lempereur C, Andraland R, Prudhomme J Y. Surface temperature measurement on engine components by means of irreversible thermal coatings[J]. Measurement Science and Technology,2008(19):105501.
[7] 张志龙,曹承倜. 示温漆颜色温度特性分析与温度识别系统[J]. 计算机自动测量与控制,2001(3):20-21.
[8] 王美玲. 基于彩色图像处理的示温漆温度识别系统[D].南京:南京航空航天大学,2009.
[9] 林茂松,陈念年. 示温漆色彩量化及其图像分割算法研究[J]. 西南科技大学学报:自然科学版,2006(2):48-53.
[10] 蔡茂蓉,龚巍. 基于小波和模糊聚类的示温漆彩色图像分割算法[J]. 微电子学与计算机,2010(5):170-173.
[11] 张兴,薛秀生,陈斌. 示温漆在发动机测试中的应用与研究[J]. 测控技术,2008(1):21-23.
[12] 于坤林. 基于数字图像处理的温度场测量方法的研究[J].长沙航空职业技术学院学报,2011(2):31-33.
[13] 于坤林,谢志宇. 基于多传感器图像融合的温度场测试系统[J]. 现代电子技术,2013(20):97-99.
[14] 王荣华,杜平安,黄明镜. 基于等温线温度识别的示温漆温度自动识别算法[J]. 电子测量与仪器学报,2010(6):542-547.
