超声C扫描设备定量评价方法研究

doi:10.3969/j.issn.1000-1158.2019.05.25

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摘要超声C扫描系统在超声成像检测、缺陷识别等无损检测领域获得了广泛应用。但是,对C扫描图像的缺陷进行精确分析和表征一直是超声领域的难点之一。基于超声C扫描缺陷图像,给出了一种结合K-means聚类与Graham算法的图像特征参数定量估计方法,通过定量估计的参数能够有效地评价超声C扫描系统的检测质量。实验结果表明该方法能够有效描述标准圆形人工缺陷区域特征,有利于进一步评价超声C扫描设备。

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	耿喆
	祝海江
	杨平
	何龙标

关键词 ：计量学, 超声C扫描, K-means聚类, Graham算法, 凸凹点检测, 特征参数

Abstract：The ultrasonic C-scan system has been widely applied in the ultrasonic imaging detection, defect recognition of nondestructive testing, however, the accurate analysis and characterization of the defects of ultrasonic C-scan images is always one of the difficult problems in the ultrasound.Based on the ultrasonic C-scan defect image, a quantitative estimation method of defect image feature parameters combining K-means clustering with Graham algorithm is presented.The quantitative estimation parameters can effectively evaluate the detection quality of the ultrasonic C-scan system.The experimental results show that the proposed method may effectively describe the characteristics of the standard circular artificial defect image, and the quantitative feature parameters may be used to evaluate further the ultrasonic C-scan equipment.

Key words： metrology ultrasonic C-scan K-means clustering graham algorithm convex and concave points detection characteristic parameter

收稿日期: 2018-06-27 发布日期: 2019-09-01

PACS:

TB95

基金资助:国家自然科学基金(61672084)

通讯作者: 祝海江(1971-),男,江西樟树人,北京化工大学教授、博士研究生导师,主要从事超声信号及图像检测与处理等方面的研究。Email: zhuhj@mail.buct.edu.cn E-mail: zhuhj@mail.buct.edu.cn

作者简介: 耿喆(1994-),女,山东青岛人,北京化工大学硕士研究生,研究超声图像处理。Email:gengzhebuct@163.com

引用本文:

耿喆,祝海江,杨平,何龙标. 超声C扫描设备定量评价方法研究[J]. 计量学报, 2019, 40(5): 893-899.
GENG Zhe,ZHU Hai-jiang,YANG Ping,HE Long-biao. Study on Quantitative Evaluation Method of Ultrasonic C-scan Equipment. Acta Metrologica Sinica, 2019, 40(5): 893-899.

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http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2019.05.25 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2019/V40/I5/893

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