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Research on the Precision Measurement Method of Flat Screen Gap Based on Mobile Vision

Authors :
Xuhui Ye
Fusheng Wang
Qianyou Yang
Xinyu Hu
Junfeng Meng
Lian Song
Source :
Applied Sciences, Vol 13, Iss 12, p 6909 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

In view of the problem that the measurement accuracy of screen gaps is affected by the R region of the transition rounded corner of the large-size flat back cover, a mobile vision system with dual linear motor synchronous drive is designed to realize precise positioning of monocular vision in 16 local image acquisition positions set in the R region. Full-size measurement of the R region is achieved using local information fusion to accurately measure the screen gap. First, to solve the problem of edge breaking and the blurring of local images, a region extraction and segmentation method based on block statistics is proposed to quickly obtain accurate outer edges. Then, an adaptive Hough line detection method based on dichotomy is proposed to accurately locate the outer edges. The experimental results show that the accuracy of region extraction and segmentation is up to 99.68% within 60 ms; the angle error and position error of line detection are less than 0.01° and 0.2 pixels, respectively. With optimal anti-interference performance, the proposed algorithm realizes the adaptive and accurate positioning of the outer edge within 200 ms; the measurement time and the measurement error of the measurement system are less than 6.0 s and 0.03 mm, respectively.

Details

Language :
English
ISSN :
20763417 and 84281685
Volume :
13
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Applied Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.1e96d8618abb428a84281685d46c10e6
Document Type :
article
Full Text :
https://doi.org/10.3390/app13126909