References
- Angulo-Ruiz, W. E., Fasabi-Pahanasi, H., Rengifo-Perez, C. P., Valdivia-Marquez, L. N., 2021: Non-destructive technique based on acoustic tomography for the identification of internal defects in trees. Scientia Agropecuaria, 12:65–71.
- Arciniegas, A., Prieto, F., Brancheriau, L., Lasaygues, P., 2014: Literature review of acoustic and ultrasonic tomography in standing trees. Trees-Structure and Function, 28:1559–1567.
- Alfieri, P. V., Correa, M. V., 2018: Analysis of biodeterio-ration wood estate: use different techniques to obtain images. Materia-Rio De Janeiro, 23: e-12073.
- Cristini, V., Tippner, J., Vojackova, B., Paulic, V., 2021: Comparison of Variability in Results of Acoustic Tomographs in Pedunculate Oak (Quercus robur L.). Bioresources, 16:3046–3058.
- Gejdoš, M., Gergeľ, T., Bucha, T., Vyhnáliková, Z., 2019: Possibilities of image analysis for quality wood sorting. Central European Forestry Journal, 65:218–222.
- Gejdoš, M., Suchomel, J., Danihelová, Z., 2021: Analysis of Qualitative Features of Beech and Oak Trunks as a Determinant of the Quality Assessment. Forests, 12:15.
- Gejdoš, M., Suchomel, J., Potkány, M., 2014: Software „ImageJ“ Application in Evaluating the Quality of Extracted Raw Wood Assortments. Drvna Industrija, 66:105–113.
- Gergeľ, T., Bucha, T., Gejdoš, M., Vyhnáliková, Z., 2019: Computed tomography log scanning – high technology for forestry and forest based industry. Central European Forestry Journal, 65:51–59.
- Gergeľ, T., Bucha, T., Gracovský, R., Chamula, M., Gejdoš, M., Veverka, P., 2022: Computed Tomography as a Tool for Quantification and Classification of Roundwood–Case Study. Forests, 13:1042.
- Gergeľ, T., Sedliak, M., Bucha, T., Oravec, M., Slamka, M., Pástor, M., 2020: Prediction Model of Wooden Logs Cutting Patterns and Its Efficiency in Practice. Applied Science, 10:3003.
- Gilbert, G. S., Ballesteros, J. O., Barrios-Rodriguez, C. A. et al., 2016. Use of sonic tomography to detect and quantify wood decay in living trees. Applications in Plant Sciences, 4:1600060.
- Goh, C. L., Rahim, R. A., Rahiman, M. H. F., Talib, M. T. M., Tee, Z. C., 2018: Sensing wood decay in standing trees: A review. Sensors and Actuators A-Physical, 269:276–282.
- Gurau, L., Timar, M. C., Porojan, M., Ioras, F., 2013: Image Processing Method as a Supporting Tool for Wood Species Identification. Wood and Fiber Sciences, 45:303–313.
- Hietaniemi, R., Lopez, M. B., Hannuksela, J., Silven, O., 2014: A Real-Time Imaging System for Lumber Strength Prediction. Forest Products Journal, 64:126–133.
- Martinis, R., Socco, L. V., Sambuelli, L., Nicolotti, G., Schmitt, O., Bucur, V., 2004: Ultrasonic tomography on standing trees. Annals of Forest Science, 61:157–162.
- Olaoye, K. O., Ojo, M. O., 2022: Non-destructive acoustic assessment of wood quality in trees and logs and the effects of silvicuitural treatments: a review. International Wood Products Journal, 13:156–171.
- Ondrejka, V., Gergeľ, T., Bucha, T., Pástor, M., 2021. Innovative methods of non-destructive evaluation of log quality. Central European Forestry Journal, 67:3–13.
- Potkány, M., Gejdoš, M., Debnár, M., 2018: Sustainable Innovation Approach for Wood Quality Evaluation in Green Business. Sustainability, 10:2984.
- Schimleck, L., Dahlen, J., Apiolaza, L. A., Downes, G., Emms, G., Evans, R. et al., 2019: Non-destructive evaluation techniques and what they tell us about wood property variation. Forests, 10:728.
- Son, J., Lee, G., Shin, J., 2021: Reliability of Noninvasive Sonic Tomography for the Detection of Internal Defects in Old, Large Trees of Abies holophylla Maxim. Forests, 12:1131.
- Strobel, J. R. A., de Carvalho, M. A. G., Goncalves, R., Pedroso, C. B., dos Reis, M. N., Martins, P. S., 2018: Quantitative image analysis of acoustic tomography in woods. European Journal of Wood and Wood Products, 76:1379–1389.
- Suchomel, J., Gejdoš, M., 2010: The Influence of selected Factors on the occurrence of false heartwood in Beech (Fagus sylvatica). Acta Facultatis Xylologiae Zvolen, 52:5–13.
- Wu, X., Li, G. H., Jiao, Z., Wang, X. P., 2019: Reliability of acoustic tomography and ground-penetrating radar for tree decay detection. Applications in Plant Sciences, 6:e1187.
- Wang, X. P., Wiedenbeck, J., Liang, S. Q., 2009: Acoustic tomography for decay detection in Black Cherry trees. Wood and Fiber Science, 41:127–137.
- STN EN 1309-3 Round and sawn timber – Methods of measurements – Part 3: Features and biological degradations (2018).