Using hyperspectral imaging to detect and quantify mould and blue stain on coated and uncoated wood

IRG/WP 14-10822

L Ross Gobakken, I Burud, A Flø, K Kvaal, T K Thiis

Hyperspectral imaging has been applied on the surface of samples of coated and uncoated Norway spruce (Picea abies) as a new technique to detect and quantify growth of mould and blue stain fungi. Principal Component Analysis of the hyperspectral images resulted in a clear visualization of the fungi and the amount of mould coverage could be estimated. This indicates that NIR hyperspectral imaging can be used as a tool for assessing coverage of surface fungi and event spectral classification for each of the two test species: Aureobasidium pullulans and Cladosporium cladosporioides. Additional studies in an outdoor environment are in progress and are briefly presented in the paper.


Keywords: coating, hyperspectral imaging, Norway spruce, surface moulds, blue stain fungi

Conference: 14-05-11/15 St George, Utah, USA


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