Oriented Strand Board (OSB) is a kind of engineered wood particle board widely adopted in manufacturing, construction and logistics. The production of OSB panels requires rectangular-shaped wood strands of specific size, arranged in layers to form the so-called “mattress” (mat) and bonded together with glue. The structural properties of the panel rely directly on the layer forming. In particular, the size distribution - namely granulometry - of the strands should fulfill standard measures to reach the mechanical properties expected from the panel. Offline granulometry of particle materials is the most commonly procedure used to evaluate the production process, but it is prone to several drawbacks owing to the manual intervention of human operators. Vision-based systems, instead, allow for performing granulometric analyses in an automatic and contactless manner. We propose a computer vision approach to estimate the granulometry of wood strands. The designed framework analyzes images of a mat of strands placed over a moving conveyor belt, and provides useful information and measurements to enhance the production of OSB panels. Because of the very large amount of wood strands on the mat, particle-overlapping is frequent and represents a main issue for measurement algorithms. In order to overcome this problem, our framework joins image processing and computational intelligence methods, such as edge detection and fuzzy color clustering. We tested the framework with real and synthetic images, useful to variate the conditions of the material's shape. The obtained results demonstrate the ability of our approach to evaluate the granulometry of the strands in real conditions, and robustness against the simulated variations of the production process.
Improving OSB wood panel production by vision-based systems for granulometric estimation / R. Donida Labati, A. Genovese, E. Munoz Ballester, V. Piuri, F. Scotti, G. Sforza - In: Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), 2015 IEEE 1st International Forum on / [a cura di] E. Cardelli, M. Ajmone, M. Mezzalama. - Prima edizione. - [s.l] : IEEE, 2015. - ISBN 9781467381673. - pp. 557-562 (( Intervento presentato al 1. convegno International Forum on Research and Technologies for Society and Industry tenutosi a Torino nel 2015.
|Titolo:||Improving OSB wood panel production by vision-based systems for granulometric estimation|
|Parole Chiave:||Oriented Strand Boards; Particle image analysis; Granulometry; Fuzzy clustering|
|Settore Scientifico Disciplinare:||Settore INF/01 - Informatica|
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
|Data di pubblicazione:||2015|
|Enti collegati al convegno:||Politecnico di Torino|
Institute of Electrical and Electronics Engineers (IEEE)
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/RTSI.2015.7325157|
|Tipologia:||Book Part (author)|
|Appare nelle tipologie:||03 - Contributo in volume|