Biometric fingerprints of trees: log tracing from forest to sawmill and early estimation of wood quality (TreeTrace)
TreeTrace (FWF project I 3653) is an international project with three French and two Austrian partners. On the Austrian side, this is a
joint project with the Salzburg University of Applied Sciences (School of Forest Products Technology), where we have the role of a national research partner.
The project considers two application cases for log cross-section imaging as follows: The first application case is the question
of tracing tree logs from the forest harvesting site to the sawmill by using biometrics related tree
log recognition techniques based on image processing of cross
- section data only. This approach of
course assumes the additional availability of
imaging sensors in the forest. Since there is a trend for
installing CT imaging devices at sawmills, which are of course not available in the forest, the
challenging issue of cross modality matching arises. The second application case is the determination
of wood quality from cross - section imagery, applicable already in the forest, and/or at the sawmill.
- [Schraml20a ] Matching Score Models for Hyperspectral Range Analysis to Improve Wood Log Traceability by Fingerprint Methods Mathematics 8:7, pp. 10, 2020
- [Decelle20a ] Neural Networks for Cross-Section Segmentation in Raw Images of Log Ends (Best Session Paper Award) In Proceedings of 4th IEEE International Conference on Image Processing, Applications and Systems (IPAS 2020), pp. 1-6, Genova, Italy, December 9 - December 11