Comparison of algorithms for the automatic determination of the latewood area in wood samples of Scots pine (Pinus sylvestris L.) using software ImageJ

Marcin Jakubowski

Abstract


This study verify the accuracy of 16 algorithms available in the ImageJ and using for determination of  latewood zone. For purposes of the work 50 wood samples (20 mm x 20 mm x 30 mm) were collected from 10 Scots pine trees (54 year old). Samples were taken from a height of 1.3 m. Cross section of wood were polished and scanning. Images of wood samples were varied in terms of grayscale and the pattern of annual rings. Manually selected area (with using polygonal tool) was used as reference latewood area in each sample. Results obtained with automatic threshold measurement were compared with manually selection area. Additionally measurements of „defoult” algorithm were corrected manually if necessary (according to human decision) as a 17 test. The most suitable for automatic latewood identification proven to be four algorithms:  IsoData, Li, Otsu and Yen. The highest accuracy was obtained with test No 17 (manual correction). Wood is difficult material for automatic threshold processing, due to many artefacts, but  mentioned algorithms could be  appropriate with enough precision. This study propose ImageJ software as useful tool for identification of latewood zone.

Keywords


thresholding algorithm, latewood area, wood properties, wood structure, image analysis

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References


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Forestry Letters  eISSN 2450-4920, pISSN 0079-4708

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