Wood Recognition and Quality Imaging Inspection Systems
Joint Authors
Kryl, Martin
Danys, Lukas
Jaros, Rene
Martinek, Radek
Kodytek, Pavel
Bilik, Petr
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-17
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Forestry is an undoubtedly crucial part of today’s industry; thus, automation of certain visual tasks could lead to a significant increase in productivity and reduction of labor costs.
Eye fatigue or lack of attention during manual visual inspections can lead to falsely categorized wood, thus leading to major loss of earnings.
These mistakes could be eliminated using automated vision inspection systems.
This article focuses on the comparison of researched methodologies related to wood type classification and wood defect detection/identification; hence, readers with an intention of building a similar vision-based system have summarized review to build upon.
American Psychological Association (APA)
Kryl, Martin& Danys, Lukas& Jaros, Rene& Martinek, Radek& Kodytek, Pavel& Bilik, Petr. 2020. Wood Recognition and Quality Imaging Inspection Systems. Journal of Sensors،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1190397
Modern Language Association (MLA)
Kryl, Martin…[et al.]. Wood Recognition and Quality Imaging Inspection Systems. Journal of Sensors No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1190397
American Medical Association (AMA)
Kryl, Martin& Danys, Lukas& Jaros, Rene& Martinek, Radek& Kodytek, Pavel& Bilik, Petr. Wood Recognition and Quality Imaging Inspection Systems. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1190397
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190397