Wood utilisation is an important factor affecting production costs, but the combined utilisation
rate of wood is generally only 50 to 70%. During the production process, the rejection …

Automatic species identification has the potential to improve the efficacy and automation of
wood processing systems significantly. Recent advances in deep learning allowed for the …

Wood material is the foundation of wood structure architecture, and its production
technology and equipment technology decide the development and upgrading of modern …

Knot detection is an important aspect of timber grading. Reducing the false-positive
frequency of knot detection will improve the accuracy of the predicted grade, as well as the …

This paper describes the abilities of the Microtec Goldeneye 300 Multi-Sensor Quality
Scanner™ to recognize and identify defects for purpose of grading kiln dried, rough …

Image Quality Assessment (IQA) is essential for the accuracy of systems for automatic
recognition of tree species for wood samples. In this study, a No-Reference IQA (NR-IQA) …

ABSTRACT Image Quality Assessment (IQA) is a vital element in improving the efficiency of
an automatic recognition system of various wood species. There is a need to develop a No …

Abstract Image Quality Assessment (IQA) is an imperative element in improving the
effectiveness of an automatic wood recognition system. There is a need to develop a No …

This work proposed the implementation of subjective and objective assessment on wood
images to analyse the quality of wood images for wood species recognition purposes …

The optimization of the processing stages in the sawmill line occupies a strategic position in
processing wood products from raw materials (logs). The main objectives of this paper are to …