Advances in Engineering Innovation

Advances in Engineering Innovation

Vol. 5, 21 March 2024


Open Access | Article

Review on line detection of wood panel images

Dexiao Meng * 1 , Wei Long 2 , Lingxi Hu 3 , Linhua Jiang 4
1 Huzhou University
2 Huzhou University
3 Huzhou University
4 Huzhou University

* Author to whom correspondence should be addressed.

Advances in Engineering Innovation, Vol. 5, 24-32 Advances in Engineering Innovation,
Published 21 March 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Dexiao Meng, Wei Long, Lingxi Hu, Linhua Jiang. Review on line detection of wood panel images. AEI (2024) Vol. 5: 24-32. DOI: 10.54254/2977-3903/5/2024061.

Abstract

In industrial, the modern intelligent degree of board counting is relatively low. Some small manufacturers still count by hand, but for large factories, manual counting needs a lot of human resources, and the accuracy of counting is low. With the rapid development of modern intelligence, image recognition is becoming more mature, some traditional algorithms keep emerging, such as Hough Transform, Fast Line Detector (FLD), Line Segment Detector (LSD) and other line detection algorithms, they have their own advantages and disadvantages, and are summarized and tested, compare which algorithm has higher accuracy and better effect in the field of board linear detection and counting. Finally, the operation mechanism, advantages and disadvantages are summarized, and the process and trend of the further optimization and development of the traditional algorithm line detection technology in the future are prospected, which provides some reference for the research in related fields.

Keywords

Straight line detection, Hough Transform, FLD, LSD

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
ISBN (Print)
ISBN (Online)
Published Date
21 March 2024
Series
Advances in Engineering Innovation
ISSN (Print)
2977-3903
ISSN (Online)
2977-3911
DOI
10.54254/2977-3903/5/2024061
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated