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可见光和红外光双光路激发的废旧塑料瓶分选试验

刘宝莹 杨晨光 赵猛 李清政 王磊 翟华

中国塑料2024,Vol.38Issue(6):111-116,6.
中国塑料2024,Vol.38Issue(6):111-116,6.DOI:10.19491/j.issn.1001-9278.2024.06.017

可见光和红外光双光路激发的废旧塑料瓶分选试验

Experimental study on waste plastic bottles sorting driven excited by dual light paths of visible and infrared light

刘宝莹 1杨晨光 2赵猛 1李清政 1王磊 1翟华2

作者信息

  • 1. 安徽省多光谱分选技术与智能装备工程研究中心,合肥 231299||安徽中科光电色选机械有限公司,合肥 231299
  • 2. 安徽省多光谱分选技术与智能装备工程研究中心,合肥 231299||航空结构件成形制造与装备安徽省重点实验室,合肥工业大学,合肥 230009
  • 折叠

摘要

Abstract

In this study,a plastic infrared sorting machine was used to conduct sorting tests on the normal polyethylene terephthalate(PET)plastic bottles with blue,white,and green colors as well as the other plastic bottles made from poly-carbonate(PC),polyethylene(PE),and polypropylene under the dual-path excitation environment of visible and infra-red light.Three common Retinex color enhancement algorithms were further utilize to identify the white-,blue-,and green-color PET bottles,and the recognition effect of plastic infrared sorting machines was investigated.The results indi-cated that there was no significant difference in the imaged images between PP,PC,and PET bottles with a white color under visible light.However,under infrared imaging,PP,PC,and PET bottles reflected green,purple,and blue light with significant differences.The HSV range value was expanded from 0~46 to 0~61,the background saturation was ad-justed from 72 to 80,the missing proportion of white and blue PET bottles was reduced from 4.58% to 1.26%,and the misidentification rate of white bottles made from PP,PC,and PE was reduced from 3.88% to 2.69% .There was no impact on the misidentification rate of the PE bottle,maintaining a recognition rate of 100% .The best removal effect was obtained through the MSR color enhancement algorithm with removal rates of 94.8%,95.83%,and 95.83% for the recognition of white,blue,and green PET bottles,respectively.

关键词

红外光/可见光/视觉检测/塑料识别/Retinex算法

Key words

infrared light/visible light/visual inspection/plastic identification/Retinex algorithm

分类

化学化工

引用本文复制引用

刘宝莹,杨晨光,赵猛,李清政,王磊,翟华..可见光和红外光双光路激发的废旧塑料瓶分选试验[J].中国塑料,2024,38(6):111-116,6.

基金项目

安徽省科技重大专项"近红外光谱视觉赋能的废旧汽车塑料分拣关键技术及产业化"(202103a07020010) (202103a07020010)

"复杂航空构件用双横梁结构大型高档数控加工中心成套装备"(202003c08020020) (202003c08020020)

中国塑料

OA北大核心CSTPCD

1001-9278

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