摘要
利用塑料红外分选机,在可见光+红外光双光路激发环境下,对常见的蓝色、白色和绿色聚对苯二甲酸乙二醇酯(PET)塑料瓶,以及其他材质[聚碳酸酯(PC)、聚乙烯(PE)、聚丙烯(PP)]3种塑料瓶进行分选测试。并进一步利用3种常见的Retinex颜色增强算法对PET材质的白、蓝、绿瓶识别,研究塑料红外分选机的识别效果。结果表明,PP、PC和PET白瓶在可见光下成像图像差异不明显,在红外光成像下,PP反射绿光,PC反射紫光,PET反射蓝光,差异较为明显;将HSV范围值由原本0~46扩大至0~61,背景饱和度由72调至80,PET白、蓝塑料瓶遗漏占比从4.58%降至1.26%,PP、PC、PE材质的白瓶误识别率从3.88%降至2.69%;对PE材料的误识别率无影响,保持100%的识别率;对于PET材质下的白、蓝、绿瓶识别,采用MSR色彩增强算法剔除效果最好,剔除率分别达到94.8%、95.83%和95.83%。
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 polycarbonate(PC),polyethylene(PE),and polypropylene under the dual-path excitation environment of visible and infrared 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 indicated 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 adjusted 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.
作者
刘宝莹
杨晨光
赵猛
李清政
王磊
翟华
LIU Baoying;YANG Chenguang;ZHAO Meng;LI Qingzheng;WANG Lei;ZHAI Hua(Anhui Engineering Research Center of Multispectral Sorting Technology and Intelligent Equipment,Hefei 231299,China;Anhui Zhongke Optic-electronic Color Sorter Machinery Co,Ltd,Hefei 231299,China;Anhui Province Key Lab of Aerospace Structural Parts Forming Technology and Equipment,Hefei University of Technology,Hefei 230009,China)
出处
《中国塑料》
CAS
CSCD
北大核心
2024年第6期111-116,共6页
China Plastics
基金
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)
“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)。
关键词
红外光
可见光
视觉检测
塑料识别
RETINEX算法
infrared light
visible light
visual inspection
plastic identification
Retinex algorithm
