Image Processing of the Lumber Surface Defect Based on Morphology

DOI

10.2991/iceep-17.2017.228How to use a DOI?

Keywords

Lumber, surface defects, knot, image processing, morphology

Abstract

Knot is the commonest surface defect, which has the greatest impact on lumber. A image processing method was designed using Matlab image processing toolbox in this paper, which combined with mathematical morphology theory. Based on plenty of experiments, two turning coordinate points of piecewise linear transformation, (0.35, 0.2) and (0.75, 0.9), were selected, and a formula to calculate the threshold value of binarization were designed. The image processing method produces the desired effect, can accurately detect the obvious knots defects.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Jianhua Yang
AU  - Wansi Fu
AU  - Jiang Xiao
AU  - Miao Yu
PY  - 2017/06
DA  - 2017/06
TI  - Image Processing of the Lumber Surface Defect Based on Morphology
BT  - Proceedings of the 2017 6th International Conference on Energy and Environmental Protection (ICEEP 2017)
PB  - Atlantis Press
SP  - 1295
EP  - 1300
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-17.2017.228
DO  - 10.2991/iceep-17.2017.228
ID  - Yang2017/06
ER  -