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An Interactive Computer Vision System for Tree Ring Analysis


Affiliations
1 School of Electrical Engineering and Technology, Department of Forestry and Natural Resources, Punjab Agricultural University, Ludhiana 141 004, India
2 Department of Forestry and Natural Resources, Punjab Agricultural University, Ludhiana 141 004, India
 

Tree rings (growthing) analysis provides useful information about the age of a tree and the past climatic conditions. Analysis of tree rings manually is a herculean task and requires a domain area expert. The present work proposes a soft technique to analyse tree rings. Effective canny edge detection approach was utilized to process high-quality digital images of tree rings. The developed program successfully performs interactive tree-ring image analysis with MATLAB Image Processing Toolbox. It generates information about the width of earlywood and latewood of the growth ring. The information generated may be further utilized by domain area expert to deduce the age of a tree. The development of such a system will ease the human analysis efforts.

Keywords

Canny Edge Detection, Digital Image Processing, Pixel Labelling, Tree Rings.
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  • Rigozo, N. R., Nordemann, D. J. R., Echer, E., Vieira, L. E. A., and Prestes, A., An interactive method for digital tree-ring width measurement. Geofís. Int., 2004, 43, 281–285.

  • Cerda, M., Hitschfeld-Kahler, N. and Mery, D., Robust tree-ring detection. In Advances in Image and Video Technology, Springer, 2007, pp. 575–585.

  • WinDENDRO, WinDendro computer program, reference manual, version 2005, Regent Instruments; www.regentinstruments.com

  • Vaza, C., Carvalho, P., Duarte, F. and Dourado, A., A visionbased system for automatic growing ring detection and measurement. Comput. Ind. Eng., 2004, 46, 347–354.

  • Hietz, P., A simple program to measure and analyse tree rings using Excel, R and Sigma Scan. Dendrochronologi, 2011, 29, 245–250.

  • Levanic, T., ATRICS – a new system for image acquisition in dendrochronology. Tree Ring Res., 2007, 63, 117–122.

  • Shrivakshan, G. T. and Chandrasekar, C., A comparison of various edge detection techniques used in image processing. Int. J. Comput. Sci., 2012, 19, 269–276.

  • Sundari, M. P. and Kumar, R. B. S., A study of image processing in analyzing tree ring structure. Int. J. Res. Hum., Arts Lit., 2014, 2, 13–18.

  • Henke, M. and Sloboda, B., Semiautomatic tree ring segmentation using active contours and an optimized gradient operator. Lesnickycasopis For. J., 2014, 60, 185–190.

  • Maxwell, S. R., Wixom, J. A. and Hessl, A. E., A comparison of two techniques for measuring and crossdating tree rings. Dendrochronologia, 2011, 29, 237–243.

  • Wagner, B., Gartner, H., Santini, S. and Ingensand, H., Crosssectional interpolation of annual rings within a 3D ischolar_main model. Dendrochronologia, 2011, 29, 201–210.

  • Mathworks: image processing toolbox for use with MATLAB: User Guide, The Mathworks Inc, Natick, MA, USA.

  • Canny, J., A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell., 1986, 8, 679–698.

  • Somaru, R., Borgaonkar, H. P. and Sikder, A. B., Tree-ring analysis of teak (Tectona grandis L.F.) in central India and its relationship with rainfall and moisture index. J. Earth Syst. Sci., 2006, 117, 637–645.

  • Singh, J. and Yadav, R. R., Chir pine ring-width thermometry in western Himalaya, India. Curr. Sci., 2014, 106, 735–738.


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  • An Interactive Computer Vision System for Tree Ring Analysis

Abstract Views: 495  |  PDF Views: 108

Authors

S. Subah
School of Electrical Engineering and Technology, Department of Forestry and Natural Resources, Punjab Agricultural University, Ludhiana 141 004, India
S. Derminder
School of Electrical Engineering and Technology, Department of Forestry and Natural Resources, Punjab Agricultural University, Ludhiana 141 004, India
C. Sanjeev
Department of Forestry and Natural Resources, Punjab Agricultural University, Ludhiana 141 004, India

Abstract


Tree rings (growthing) analysis provides useful information about the age of a tree and the past climatic conditions. Analysis of tree rings manually is a herculean task and requires a domain area expert. The present work proposes a soft technique to analyse tree rings. Effective canny edge detection approach was utilized to process high-quality digital images of tree rings. The developed program successfully performs interactive tree-ring image analysis with MATLAB Image Processing Toolbox. It generates information about the width of earlywood and latewood of the growth ring. The information generated may be further utilized by domain area expert to deduce the age of a tree. The development of such a system will ease the human analysis efforts.

Keywords


Canny Edge Detection, Digital Image Processing, Pixel Labelling, Tree Rings.

References





DOI: https://doi.org/10.18520/cs%2Fv112%2Fi06%2F1262-1265