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1.长春希达电子技术有限公司, 吉林 长春 130103
2.中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
[ "李百松 (1992-),男,吉林长春人,学士,2016年于大庆师范大学获得学士学位,主要从事自动化控制的研究。E-mail: libs@ccxida.com" ]
[ "曹慧 (1983-),男,江苏连云港人,硕士,高级工程师,2009年于长春理工大学获得硕士学位,主要从事COB LED显示与控制方面的研究。E-mail: caoh@ccxida.com" ]
收稿日期:2021-01-21,
修回日期:2021-03-15,
纸质出版日期:2021-07
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李百松, 曹慧, 徐子程, 等. 机器视觉在COB LED显示模组墨色采集、分类、排序中的应用[J]. 液晶与显示, 2021,36(7):964-972.
Bai-song LI, Hui CAO, Zi-cheng XU, et al. Application of machine vision in COB LED display module ink collection, classification and sorting[J]. Chinese journal of liquid crystals and displays, 2021, 36(7): 964-972.
李百松, 曹慧, 徐子程, 等. 机器视觉在COB LED显示模组墨色采集、分类、排序中的应用[J]. 液晶与显示, 2021,36(7):964-972. DOI: 10.37188/CJLCD.2021-0020.
Bai-song LI, Hui CAO, Zi-cheng XU, et al. Application of machine vision in COB LED display module ink collection, classification and sorting[J]. Chinese journal of liquid crystals and displays, 2021, 36(7): 964-972. DOI: 10.37188/CJLCD.2021-0020.
在COB LED显示屏黑场时可能会出现肉眼可见的COB LED模组间的墨色差异性。为了保证同一面COB LED显示屏的墨色一致性,本文对COB LED显示模组的墨色采集、分类、排序算法进行了研究。首先介绍了基于机器视觉COB LED显示模组的墨色采集方法,然后针对视觉观看COB LED显示屏墨色最优效果进行墨色采集装置的研制,接着采用基于机器视觉的墨色分类、排序算法,完成了COB LED显示模组墨色采集和自动排序软件平台。最后通过工程案例实验,验证了基于机器视觉的COB LED显示模组墨色采集、分类、排序方案的可实施性,满足了人眼视觉在观察一面COB LED显示屏时的墨色一致性感受。
When the COB LED display screen is black
the ink color difference between COB LED modules may appear. In order to ensure the consistency of ink color on the same side of COB LED display
this paper studies the ink color collection
classification and sorting algorithm of COB LED display module. Firstly
the ink color acquisition method based on machine vision COB LED display module is introduced
and then
the ink color acquisition device aiming at the optimal effect of viewing COB LED display screen ink color by vision is developed. The COB LED display is completed by using the ink color classification and sorting algorithm based on machine vision. Finally
through the engineering case experiment
the feasibility of COB LED display module ink color collection
classification and sorting scheme based on machine vision is verified
which meets the consistent feeling of human vision as observing a COB LED display.
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