Image processing as a tool for assessment and analysis of blue stain discolouration of coated wood [An article from: International Biodeterioration & Biodegradation]
Book Details
PublisherElsevier
ISBN / ASINB000RR5UYW
ISBN-13978B000RR5UY7
AvailabilityAvailable for download now
Sales Rank99,999,999
MarketplaceUnited States 🇺🇸
Description
This digital document is a journal article from International Biodeterioration & Biodegradation, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Wood used outdoors needs protection against physical and biological factors. Solvent-borne and the more recently developed water-borne coatings with low fungicide content need thorough testing for their blue stain resistance. Especially, water-borne systems have been brought into focus due to their environmental-friendly profile. Conventional tests like the European Standard EN 152 use a subjective rating scale for blue stain assessment. On the one hand, such a scale gives a value of depreciation of a surface degraded by blue stain fungi, on the other the estimation is a subjective rating of fungal disfigurement and makes comparison difficult. For this reason other techniques have been sought and tested for their usefulness in the assessment and quantification of surface and interior fungal discolouration of coated wood. Different image-processing algorithms, such as neural networks, and a subjective rating scale are compared. Furthermore, three-dimensional reconstruction of the fungal development in wood is explored as a tool for in-depth analysis of the growth in the wood substrate. te.
Description:
Wood used outdoors needs protection against physical and biological factors. Solvent-borne and the more recently developed water-borne coatings with low fungicide content need thorough testing for their blue stain resistance. Especially, water-borne systems have been brought into focus due to their environmental-friendly profile. Conventional tests like the European Standard EN 152 use a subjective rating scale for blue stain assessment. On the one hand, such a scale gives a value of depreciation of a surface degraded by blue stain fungi, on the other the estimation is a subjective rating of fungal disfigurement and makes comparison difficult. For this reason other techniques have been sought and tested for their usefulness in the assessment and quantification of surface and interior fungal discolouration of coated wood. Different image-processing algorithms, such as neural networks, and a subjective rating scale are compared. Furthermore, three-dimensional reconstruction of the fungal development in wood is explored as a tool for in-depth analysis of the growth in the wood substrate. te.
