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R-based image analysis to quantify checking and shrinkage from wood wedges
journal contribution
posted on 2023-05-21, 01:34 authored by Rocha-Sepulveda, MF, Vega, M, Gendvilas, V, Williams, D, Peter HarrisonPeter Harrison, Rene VaillancourtRene Vaillancourt, Bradley PottsBradley PottsInternal checking and shrinkage are drying defects that strongly degrade timber for structural and appearance uses in many hardwood species. Wood quality assessors and tree breeders often measure checks and shrinkage from disc-derived wood wedges using scale-based methods and callipers, but these methods are subjective and labour intensive. This study developed an R-based open-source system using image thresholding techniques to quantify checks and shrinkage from digital images of wood wedges. The results showed that the automated quantification of checks predicted the subjective and manual assessment for both area and number of checks in Eucalyptus nitens at the wedge level, and provided much more precision than the subjective classification of checking used by breeders for little additional effort. Similarly, the automated image assessment explained a high proportion of the manually measured variation in shrinkage and collapse with little bias. The automated assessment resulted in significant time saving compared with the manual measurements from digital images. The R-based image analysis thus shows promise in replacing traditional assessment when evaluating a large number of samples and quantitative estimates of checks and shrinkage are required, and has the added advantage that the distribution of checks and collapse within the wedges can be obtained to assist diverse studies on drying defects.
Funding
Australian Research Council
Forest & Wood Products Australia Limited
Forestry Tasmania
Forico Pty Ltd
Greening Australia (TAS) Ltd
JM Roberts Charitable Trust
Sustainable Forest Management Pty Ltd
History
Publication title
European Journal of Wood and Wood ProductsVolume
79Pagination
1269-1281ISSN
0018-3768Department/School
School of Natural SciencesPublisher
Springer-VerlagPlace of publication
175 Fifth Ave, New York, USA, Ny, 10010Rights statement
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021Repository Status
- Restricted