| 基于水平集的钢轨焊缝区域定位方法 |
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| 引用本文： | 刘星武,熊邦书,廖峰,陈新云. 基于水平集的钢轨焊缝区域定位方法[J]. 应用科学学报, 2021, 39(2): 281-292. DOI: 10.3969/j.issn.0255-8297.2021.02.010 |
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| 作者姓名： | 刘星武 熊邦书 廖峰 陈新云 |
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| 作者单位： | 1. 南昌航空大学 江西省图像处理与模式识别重点实验室, 江西 南昌 330063;2. 中航工业洪都飞机设计研究所, 江西 南昌 330024;3. 中航通飞研究院有限公司, 广东 珠海 519040 |
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| 基金项目： | 国家自然科学基金（No.61866027）；江西省重点研发计划基金（No.20171BBE50013）；南昌航空大学研究生创新专项基金（No.YC2018021）资助 |
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| 摘 要： | 针对现有钢轨焊缝错边量测量方法在不同光照环境下适应能力不强、定位精度不高、稳定性不好的问题,提出了基于水平集的钢轨焊缝区域定位方法.首先,采用水平集对预处理后的焊缝图像进行轮廓分割,将焊缝与轨腰、轨头和背景进行分离;其次,采用面积排序和连通域相结合的方法排除轮廓干扰,实现焊缝轮廓的粗定位;再次,采用两次排序法实现焊缝轮...
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| 关 键 词： | 钢轨焊缝 自动定位 水平集 焊缝区域 排序法 |
| 收稿时间： | 2020-01-07 |
Orientation Method for Rail Weld Region Based on Level Set |
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| LIU Xingwu,XIONG Bangshu,LIAO Feng,CHEN Xinyun. Orientation Method for Rail Weld Region Based on Level Set[J]. Journal of Applied Sciences, 2021, 39(2): 281-292. DOI: 10.3969/j.issn.0255-8297.2021.02.010 |
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| Authors: | LIU Xingwu XIONG Bangshu LIAO Feng CHEN Xinyun |
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| Affiliation: | 1. Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition, Nanchang Hangkong University, Nanchang 330063, Jiangxi, China;2. Hongdu Aircraft Design Institute of AVIC, Nanchang 330024, Jiangxi, China;3. China Aviation Industry General Aircraft Co., Ltd., Zhuhai 519040, Guangdong, China |
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| Abstract: | An orientation method for rail weld region based on level set is proposed to improve the adaptability, stability and accuracy of weld positioning under different illumination conditions. Firstly, in order to separate welds from rail waists, rail heads and background, level set is used to segment the contours in preprocessed weld image. Secondly, area sorting and domain connecting are used in combination to eliminate contour interference and achieve coarse positioning of weld contour. The weld contour is then accurately positioned by using double sorting method. Finally, the rail weld region is automatically positioned by sorting the abscissa of weld contour. Positioning experiments for the weld region of 60kg/m rail are conducted under different illumination conditions. Experiments demonstrate the advantages of strong adaptability, high accuracy and good stability, and prove that the proposed method can be used for automatically detecting the weld misalignment in welded rail site. |
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| Keywords: | rail weld automatic positioning level set weld region sorting method |
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