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A suppression method of image noise for cylindrical objects based on vision sensors

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Indexed by:期刊论文

Date of Publication:2016-08-15

Journal:SENSORS AND ACTUATORS A-PHYSICAL

Included Journals:SCIE、EI、Scopus

Volume:247

Page Number:403-414

ISSN No.:0924-4247

Key Words:Vision measurement; Light stripe greyscale distribution; Centre point credibility; Laser curved surface reflection; Structured light

Abstract:Measurement based on vision sensors plays a significant role in process control and product quality in manufacture process. In extreme conditions, the ability to effectively distinguish information from noise is essential in the measurement process. In this paper, an online detection method that achieves noise suppression based on credibility evaluation of centre points is proposed which is applicable to cylindrical objects. A correlation expression between energy and relative position of the cross-section of the light stripes is also derived, and a method for determining the credibility of centre points with the greyscale distribution rule of the correlation expression is established. Experimental results indicate that the greyscale distribution rule for light stripes is reliable, and the noise suppression method can eliminate the noise of cylindrical objects. In the experiments conducted, the relative error of laboratory measurements using the proposed method reduced from 1.84% to 0.33%. (C) 2016 Elsevier B.V. All rights reserved.

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