Abstract
In this paper the problem of semiautomatic tree-ring detection in scanned images of European larch wood sample is considered. In particular, the attention is paid to find image enhancement approach which increases the number of tree rings detected in the wood image by the CooRecorder software. The results provided by different preprocessing methods (including thresholding, contrast enhancement and various spatial filters) are assessed by means of the number of the detected tree rings. Discussion and interpretation of the results are also provided.
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Acknowledgement
This work was co-financed by the Lodz University of Technology, Faculty of Electrical, Electronic, Computer and Control Engineering as a part of statutory project no 501/12-24-2-5416.
This work was co-financed by the AGH - University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection as a part of statutory projects no. 11.11.140.173, no. 11.11.140.613 and no. 11.11.140.626.
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Fabijańska, A., Danek, M., Barniak, J., Piórkowski, A. (2017). A Comparative Study of Image Enhancement Methods in Tree-Ring Analysis. In: Choraś, R. (eds) Image Processing and Communications Challenges 8. IP&C 2016. Advances in Intelligent Systems and Computing, vol 525. Springer, Cham. https://doi.org/10.1007/978-3-319-47274-4_8
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DOI: https://doi.org/10.1007/978-3-319-47274-4_8
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