Wood recognition and quality imaging inspection systems
Forestry is an undoubtedly crucial part of today's industry; thus, automation of certain visual
tasks could lead to a significant increase in productivity and reduction of labor costs. Eye …
tasks could lead to a significant increase in productivity and reduction of labor costs. Eye …
Laser-induced breakdown spectroscopy (LIBS) for classification of wood species integrated with artificial neural network (ANN)
X Cui, Q Wang, Y Zhao, X Qiao, G Teng - Applied Physics B, 2019 - Springer
In this paper, laser-induced breakdown spectroscopy (LIBS) combined with artificial neural
network (ANN) was investigated to classify four species of wood samples (Africa rosewood …
network (ANN) was investigated to classify four species of wood samples (Africa rosewood …
Forest species recognition using macroscopic images
PLP Filho, LS Oliveira, S Nisgoski, AS Britto - Machine Vision and …, 2014 - Springer
The recognition of forest species is a very challenging task that generally requires well-
trained human specialists. However, few reach good accuracy in classification due to the …
trained human specialists. However, few reach good accuracy in classification due to the …
Tree species classification based on image analysis using Improved-Basic Gray Level Aura Matrix
MIP Zamri, F Cordova, ASM Khairuddin… - … and Electronics in …, 2016 - Elsevier
Classifying wood species accurately is crucial since incorrect labelling of wood species may
incur huge loss to timber industries. An automated wood species recognition system is …
incur huge loss to timber industries. An automated wood species recognition system is …
Tree species recognition system based on macroscopic image analysis
An automated wood texture recognition system of 48 tropical wood species is presented. For
each wood species, 100 macroscopic texture images are captured from different timber logs …
each wood species, 100 macroscopic texture images are captured from different timber logs …
Fit-free analysis of fluorescence lifetime imaging data using chemometrics approach for rapid and nondestructive wood species classification
T Ma, T Inagaki, S Tsuchikawa - Holzforschung, 2023 - degruyter.com
Conventional fluorescence spectroscopy has been suggested as a valuable tool for
classifying wood species rapidly and non-destructively. However, because it is challenging …
classifying wood species rapidly and non-destructively. However, because it is challenging …
Performance analysis of colour descriptors for parquet sorting
In this paper we consider the problem of colour-based sorting hardwood parquet slabs into
lots of similar visual appearance. As a basis for the development of an expert system to …
lots of similar visual appearance. As a basis for the development of an expert system to …
Forest species recognition based on dynamic classifier selection and dissimilarity feature vector representation
Multiple classifiers on the dissimilarity space are proposed to address the problem of forest
species recognition from microscopic images. To that end, classical texture-based features …
species recognition from microscopic images. To that end, classical texture-based features …
A comprehensive classification of wood from thermogravimetric curves
M Francisco-Fernández, J Tarrío-Saavedra… - Chemometrics and …, 2012 - Elsevier
Wood is one of the most complicated materials to be classified in different classes or
species. In this paper, the thermogravimetric (TG) curves of 49 wood samples are used to …
species. In this paper, the thermogravimetric (TG) curves of 49 wood samples are used to …
Statistical feature extraction method for wood species recognition system
A cascaded wood species recognition system using simple statistical properties of the wood
texture is presented where a total of 24 statistical features are extracted from each wood …
texture is presented where a total of 24 statistical features are extracted from each wood …