基于显微视觉的微球圆度测量方法研究

doi:10.3969/j.issn.1000-1158.2019.05.05

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Abstract The microscopic vision technology is used to automatically detect the roundness of microspheres with the optimization algorithm. The grabbed image of microsphere is acquired by the charge coupled device (CCD) of measuring microscope. The image is enhanced based on the principle of maximum information entropy. There is a algorithm is used to split image which proceed non-maximum suppression of the gradient and iterative. Then the roundness of microspheres by using least square circle fitting is obtained after trace pick-up. The method avoids the loss of some information of the image edge and the reduction of detection accuracy due to filtering processing. By measuring the roundness error of 0.5mm microspheres, it is proved that the method of edge detection and trace pick-up can effectively suppress the influence of noise interference and achieve the accurate location of the target edge. The relative error between the roundness of microspheres obtained by this method and the one of calibrated microspheres is within 0.17%, which could achieved the purpose of effective detection of roundness.

Key words： metrology microspheres micro-vision roundness edge detection

Received: 24 July 2018 Published: 01 September 2019

PACS:

TB92

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	Articles by authors
	CHEN Hou-rui
	CAI Xiao-yu
	WEI Jia-si
	LI Yuan
	YU Zhi-hao

Cite this article:

CHEN Hou-rui,CAI Xiao-yu,WEI Jia-si, et al. Research on Measurement for Roundness of Microspheres Based on Micro-vision[J]. Acta Metrologica Sinica, 2019, 40(5): 770-775.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.05.05 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I5/770

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