基于CT图像的金属点阵结构内部缺陷检测方法

doi:10.3969/j.issn.1000-1158.2020.05.06

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Abstract Based on the gray value distribution characteristics of computed tomography (CT)scanning images, a method for detecting the internal defects of metal three-dimensional multi-layer lattice structures was proposed. The defects was detected by the distribution of the difference between the gray values of the three horizontally adjacent fixed-size pixel points, and the corresponding criteria and basis were given by theoretical analysis. The experiment results showed that, compared with the method by artificial markers, the proposed algorithm can accurately identify the typical chasm defects inside the metal three-dimensional multi-layer lattice structure, and the recognition rate reaches 98.5%.

Key words： metrology metal lattice structure CT scanning image defect detection gray value sum additive manufacturing

Received: 01 November 2018 Published: 14 May 2020

PACS:

TB96

Corresponding Authors: Yu-yan ZHANG E-mail: yyzhang@ysu.edu.cn

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	ZHANG Yu-yan
	LI Yong-bao
	WEN Yin-tang
	ZHANG Zhi-wei

Cite this article:

ZHANG Yu-yan,LI Yong-bao,WEN Yin-tang, et al. Method for Detecting Internal Defects of Metal Lattice Structure Based on CT Images[J]. Acta Metrologica Sinica, 2020, 41(5): 544-550.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2020.05.06 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2020/V41/I5/544

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