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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References
Chandy, D.A., Johnson, J.S., Selvan, S.E.: Texture feature extraction using gray level statistical matrix for content-based mammogram retrieval. Multimedia Tools Appl. 72(2), 2011–2024 (2014)
El-Zaart, A.: Images thresholding using isodata technique with gamma distribution. Pattern Recogn. Image Anal. 20(1), 29–41 (2010)
Habrat, K., Habrat, M., Gronkowska-Serafin, J., Piórkowski, A.: Cell detection in corneal endothelial images using directional filters. In: Choraś, R.S. (ed.) Image Processing and Communications Challenges 7. AISC, vol. 389, pp. 113–123. Springer, Heidelberg (2016). doi:10.1007/978-3-319-23814-2_14
Haralick, R.M., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans. Syst. Man Cybern. SMC–3(6), 610–621 (1973)
Laggoune, H., Guesdon, V., et al.: Tree ring analysis. In: Canadian Conference on Electrical and Computer Engineering, pp. 1574–1577. IEEE (2005)
Norell, K.: Automatic counting of annual rings on pinus sylvestris end faces in sawmill industry. Comput. Electron. Agric. 75(2), 231–237 (2011)
Piórkowski, A.: A statistical dominance algorithm for edge detection and segmentation of medical images. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds.) Information Technologies in Medicine. AISC, vol. 471, pp. 3–14. Springer, Heidelberg (2016). doi:10.1007/978-3-319-39796-2_1
Reza, A.M.: Realization of the contrast limited adaptive histogram equalization (clahe) for real-time image enhancement. J. VLSI Sig. Process. Syst. 38(1), 35–44 (2004)
Serra, J., Vincent, L.: An overview of morphological filtering. Circ. Syst. Sig. Process. 11(1), 47–108 (1992)
Sundari, P.M., Kumar, S.B.R.: A study of image processing in analyzing tree ring structure. Int. J. Res. Humanit. Arts Lit. 2(3), 13–18 (2014)
Tadeusiewicz, R., Korohoda, P.: Computer Analysis and Image Processing. Progress of Telecommunication Foundation Publishing House, Krakow (1997)
Zuiderveld, K.: Contrast limited adaptive histogram equalization. In: Heckbert, P.S. (ed.) Graphics Gems IV. Academic Press, Boston (1994)
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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