Neural Networks for Cross-Section Segmentation in Raw Images of Log Ends
Author:
Funder
French National Research Agency
Austrian Science Fund (FWF)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9334927/9334928/09334960.pdf?arnumber=9334960
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Traceability and quality assessment of Norway spruce (Picea abies (L.) H.Karst.) logs: the TreeTrace_spruce database;Annals of Forest Science;2023-02-13
2. Traceability and quality assessment of Douglas fir (Pseudotsuga menziesii (Mirb.) Franco) logs: the TreeTrace_Douglas database;Annals of Forest Science;2022-11-28
3. Application of computer vision methods for automated wooden planks length measurement;2022 18th Biennial Baltic Electronics Conference (BEC);2022-10-04
4. Three-step Approach for Localization, Instance Segmentation and Multi-facet Classification of Individual Logs in Wooden Piles;Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods;2022
5. Segmentation and Multi-facet Classification of Individual Logs in Wooden Piles;Computer Aided Systems Theory – EUROCAST 2022;2022
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