Identification of Geometric Features of the Corrugated Board Using Images and Genetic Algorithm

被引：3
|
作者：
Rogalka, Maciej [1 ]
Grabski, Jakub Krzysztof [1 ]
Garbowski, Tomasz [2 ]
机构：
[1] Poznan Univ Tech, Inst Appl Mech, Jana Pawla 2 24, PL-60965 Poznan, Poland
[2] Poznan Univ Life Sci, Dept Biosyst Engn, Wojska Polskiego 50, PL-60627 Poznan, Poland
来源：
SENSORS | 2023年 / 23卷 / 13期
关键词：
corrugated board; flute; flute type; cross-section image; genetic algorithm;
D O I：
10.3390/s23136242
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The corrugated board is a versatile and durable material that is widely used in the packaging industry. Its unique structure provides strength and cushioning, while its recyclability and bio-degradability make it an environmentally friendly option. The strength of the corrugated board depends on many factors, including the type of individual papers on flat and corrugated layers, the geometry of the flute, temperature, humidity, etc. This paper presents a new approach to the analysis of the geometric features of corrugated boards. The experimental set used in the work and the created software are characterized by high reliability and precision of measurement thanks to the use of an identification procedure based on image analysis and a genetic algorithm. In the applied procedure, the thickness of each layer, corrugated cardboard thickness, flute height and center line are calculated. In most cases, the proposed algorithm successfully approximated these parameters.
引用
收藏
页数：17
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