A Comparative Study of Image Enhancement Methods in Tree-Ring Analysis

  • Anna Fabijańska
  • Małgorzata Danek
  • Joanna Barniak
  • Adam Piórkowski
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 525)


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.


Edge detection Segmentation Image processing Preprocessing Tree-ring analysis European larch 



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., no. and no.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Anna Fabijańska
    • 1
  • Małgorzata Danek
    • 2
  • Joanna Barniak
    • 3
  • Adam Piórkowski
    • 4
  1. 1.Institute of Applied Computer ScienceLodz University of TechnologyLodzPoland
  2. 2.Department of Environmental Analysis, Mapping and Economic GeologyAGH University of Science and TechnologyKrakowPoland
  3. 3.Department of General Geology and GeotourismAGH University of Science and TechnologyKrakowPoland
  4. 4.Department of Geoinfomatics and Applied Computer ScienceAGH University of Science and TechnologyKrakowPoland

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