靳杉杉,张涛,曹兴强,曾建,李晓,姚二民.智能包装检测系统中光源波长研究[J].包装工程,2018,39(19):18-23.
JIN Shan-shan,ZHANG Tao,CAO Xing-qiang,ZENG Jian,LI Xiao,YAO Er-min.Light Source Wavelength in Intelligent Packaging Inspection System[J].Packaging Engineering,2018,39(19):18-23. |
| 智能包装检测系统中光源波长研究 |
| Light Source Wavelength in Intelligent Packaging Inspection System |
| 投稿时间：2018-07-24 修订日期：2018-10-10 |
| DOI：10.19554/j.cnki.1001-3563.2018.19.004 |
| 中文关键词: 智能包装 检测 机器视觉 光源波长 内衬纸 多层包装 |
| 英文关键词: intelligent packaging inspection machine vision light source wavelength inner paper multi-layer package |
| 基金项目:河南省科技攻关计划（142102210639） |
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| 中文摘要: |
| 目的 通过优化智能包装检测系统中的光源条件，提高多层包装中缺陷内衬纸智能检测的识别率和包装的良品率。方法 在智能包装检测系统中，通过改变光源的波长来检测不同颜色的缺陷内衬纸，并对缺陷内衬纸面积检测的像素数量进行分析，来确定合适的光源波长。结果 色相性导致红光、绿光及蓝光等可见单色光不能使相同颜色的内衬纸在智能包装检测系统中成像，但在白光、红外光和紫外光照射下可以检测出所有的缺陷内衬纸。进一步分析得知，智能包装检测系统在红外光照射下缺陷内衬纸的成像效果最好；在白光、红外光和紫外光照射下的识别率分别为90.5%, 99.5%, 96.5%，红外光照射下的识别率最高。结论 在实际包装车间生产中，为使智能包装检测系统的准确率最高，可根据色相性选择光源或者直接选择红外光光源。 |
| 英文摘要: |
| The work aims to improve the recognition rate of intelligent inspection of defective liner paper in multi-layer package and the rate of good product of package by optimizing the light source conditions in the intelligent packaging inspection system. In the intelligent packaging inspection system, the defective liner paper of different colors was detected by changing the wavelength of the light source, and the pixel number of defective liner paper area detection was analyzed to determine the appropriate light source wavelength. The chromaticity resulted in red, green and blue visible monochrome light which could not image the liner paper of the same color in the intelligent packaging inspection system, but could detect all the defective liner paper under white, infrared and ultraviolet light. Further analysis showed that the imaging effect of defective liner paper was the best when the intelligent packaging inspection system was under infrared illumination, and the recognition rates under white light, infrared light and ultraviolet light were 90.5%, 99.5% and 96.5%, respectively. The recognition rate under infrared illumination was the highest. In the actual production of the packaging workshop, in order to achieve the highest accuracy of the intelligent packaging inspection system, the light source can be chosen according to the chromaticity or the infrared light source can be directly chosen. |
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