A MATLAB-based image processing algorithm for analyzing cupping profiles of two-layer laminated wood products

•The moisture induced cupping of a two-layer wood product was a result of the differential wood movement of each layer.•A MATLAB-based algorithm was developed to quickly calculate the cupping via processing images.•The algorithm could accurately calculate the cupping values of a batch of images base...

Full description

Saved in:
Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2014-07, Vol.53, p.234-239
Main Authors: Li, Ling, Gong, Meng, Chui, Y.H., Schneider, Marc
Format: Article
Language:English
Subjects:
Batch processing
CT image
Cupping measurement
Densified wood
Image processing algorithm
Two-layer laminated wood
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•The moisture induced cupping of a two-layer wood product was a result of the differential wood movement of each layer.•A MATLAB-based algorithm was developed to quickly calculate the cupping via processing images.•The algorithm could accurately calculate the cupping values of a batch of images based on quadratic curve fitting. This study developed a MATLAB-based image processing algorithm for calculating the cupping of two-layer laminated wood specimens made of densified and undensified balsam fir (Abies balsamea (L.) Mill.). A six-week moisture cycling treatment followed by an oven-drying treatment was conducted to produce cupping. Two series of images, recording the undeformed and deformed shapes of each specimen, were scanned using a computed tomography (CT) scanner. The algorithm developed in the study accurately detected the two end points and the top point at the bottom edge of deformed specimens and then calculated the cupping using a quadratic curve fitting method.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2014.03.035