Forests worldwide are overstocked with small-diameter trees, putting them at increased risk
of disease, insect attack, and destructive high-intensity wildfires. This overstocking is caused …

Organic materials of woody plants are complex and show internal, structural, and
morphological variations due to genetic and environmental influences. Variability can be …

The artificial extraction of features from wood images via a conventional method is complex.
Therefore, we proposed a learning method to detect wood features and automatically …

Concrete is the standard construction material for buildings, bridges, and roads. As safety
plays a central role in the design, monitoring, and maintenance of such constructions, it is …

Deep learning has achieved certain results in the field of wood surface defect detection. To
address the problems of low accuracy of the detection results of surface defects on boards …

Trees' structural defects are responsible for the reduction in forest product quality and the
accident of tree collapse under extreme environmental conditions. Although the manual …

We present a novel technique for the 3D segmentation of unknown objects from cluttered
dual-energy Computed Tomography (CT) data obtained in the baggage security-screening …

Accurate information on the timber quality of hardwoods is often lacking, in particular for
standing trees. In situ measurements of timber quality have the potential to improve the …

X-ray computed tomography (CT) of logs means possibilities for optimizing breakdown in
sawmills. This depends on accurate detection of knots to assess internal quality. However …

According to the industry, the value of wood logs is heavily influenced by their internal
structure, particularly the distribution of knots within the trees. Nowadays, CT scanners …