Review of the Current State of Application of Wood Defect Recognition Technology
Wood utilisation is an important factor affecting production costs, but the combined utilisation rate of wood is generally only 50 to 70%. During the production process, the rejection scheme of wood defects is one of the most important factors affecting the wood yield. This paper provides an overvie...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
North Carolina State University
2024-02-01
|
| Series: | BioResources |
| Subjects: | |
| Online Access: | https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22288 |
| _version_ | 1797270174257119232 |
|---|---|
| author | Yutang Chen Chengshuo Sun Zirui Ren Bin Na |
| author_facet | Yutang Chen Chengshuo Sun Zirui Ren Bin Na |
| author_sort | Yutang Chen |
| collection | DOAJ |
| description | Wood utilisation is an important factor affecting production costs, but the combined utilisation rate of wood is generally only 50 to 70%. During the production process, the rejection scheme of wood defects is one of the most important factors affecting the wood yield. This paper provides an overview of the main wood defects affecting wood quality, introduces techniques for detecting and identifying wood defects using different technologies, highlights the more widely used image recognition-based wood surface defect identification methods, and presents three advanced wood defect detection and identification equipment. In view of the relatively fixed wood defect recognition requirements in wood processing production, it is proposed that wood defect recognition technology should be further developed toward deep learning to improve the accuracy and efficiency of wood defect recognition. |
| first_indexed | 2024-03-13T03:08:18Z |
| format | Article |
| id | doaj.art-e489c4e637bc43858a20a035df8b00b3 |
| institution | Directory Open Access Journal |
| issn | 1930-2126 |
| language | English |
| last_indexed | 2024-04-25T02:00:04Z |
| publishDate | 2024-02-01 |
| publisher | North Carolina State University |
| record_format | Article |
| series | BioResources |
| spelling | doaj.art-e489c4e637bc43858a20a035df8b00b32024-03-07T15:16:39ZengNorth Carolina State UniversityBioResources1930-21262024-02-01181228823021554Review of the Current State of Application of Wood Defect Recognition TechnologyYutang Chen0Chengshuo Sun1Zirui Ren2Bin Na3Nanjing Forestry UniversityNanjing Forestry UniversityNanjing Forestry UniversityNanjing Forestry UniversityWood utilisation is an important factor affecting production costs, but the combined utilisation rate of wood is generally only 50 to 70%. During the production process, the rejection scheme of wood defects is one of the most important factors affecting the wood yield. This paper provides an overview of the main wood defects affecting wood quality, introduces techniques for detecting and identifying wood defects using different technologies, highlights the more widely used image recognition-based wood surface defect identification methods, and presents three advanced wood defect detection and identification equipment. In view of the relatively fixed wood defect recognition requirements in wood processing production, it is proposed that wood defect recognition technology should be further developed toward deep learning to improve the accuracy and efficiency of wood defect recognition.https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22288wood defectsdetection and identificationequipmentwood processing |
| spellingShingle | Yutang Chen Chengshuo Sun Zirui Ren Bin Na Review of the Current State of Application of Wood Defect Recognition Technology BioResources wood defects detection and identification equipment wood processing |
| title | Review of the Current State of Application of Wood Defect Recognition Technology |
| title_full | Review of the Current State of Application of Wood Defect Recognition Technology |
| title_fullStr | Review of the Current State of Application of Wood Defect Recognition Technology |
| title_full_unstemmed | Review of the Current State of Application of Wood Defect Recognition Technology |
| title_short | Review of the Current State of Application of Wood Defect Recognition Technology |
| title_sort | review of the current state of application of wood defect recognition technology |
| topic | wood defects detection and identification equipment wood processing |
| url | https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22288 |
| work_keys_str_mv | AT yutangchen reviewofthecurrentstateofapplicationofwooddefectrecognitiontechnology AT chengshuosun reviewofthecurrentstateofapplicationofwooddefectrecognitiontechnology AT ziruiren reviewofthecurrentstateofapplicationofwooddefectrecognitiontechnology AT binna reviewofthecurrentstateofapplicationofwooddefectrecognitiontechnology |