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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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

Received: 27 June 2018 Published: 01 September 2019

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TB95

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	Articles by authors
	GENG Zhe
	ZHU Hai-jiang
	YANG Ping
	HE Long-biao

Cite this article:

GENG Zhe,ZHU Hai-jiang,YANG Ping, et al. Study on Quantitative Evaluation Method of Ultrasonic C-scan Equipment[J]. Acta Metrologica Sinica, 2019, 40(5): 893-899.

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

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