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Design of Instruction Analyzer with Semantic-Based Loop Unrolling Mechanism in the Hyperscalar Architecture Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Defect Mapping of Lumber Surface by Image Processing for Automatic Glue Fitting

Authors : Hsien-Huang Wu, Chung-Yuan Hung, Bo-jyun Zeng, Ya-Yung Huang

Published in: New Trends in Computer Technologies and Applications

Publisher: Springer Singapore

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Abstract

While automated optical inspection (AOI) is an effective means to evaluate the quality of wood product, there are very few other applications of AOI in the domestic wood factories. For example, defects of holes or cavities on the surface of wood product currently are still found and filled with glue by human labor. In this paper, we propose using the laser triangulation method of 3D machine vision, to detect defects (holes or cavities) for a large area of lumber surface, and the information collected can be used in the automatic filling machine for further filling process. This method proved to be unaffected by wood surface texture, and can identify the cavity defect with a size larger than 1 mm under the speed of 3.6 m/min for wood with 1.5 m wide.

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Metadata
Title
Defect Mapping of Lumber Surface by Image Processing for Automatic Glue Fitting
Authors
Hsien-Huang Wu
Chung-Yuan Hung
Bo-jyun Zeng
Ya-Yung Huang
Copyright Year
2019
Publisher
Springer Singapore
Book
New Trends in Computer Technologies and Applications

Print ISBN: 978-981-13-9189-7

Electronic ISBN: 978-981-13-9190-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-9190-3_39

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