A review of texture classification methods and databases
P Cavalin, LS Oliveira - 2017 30th SIBGRAPI Conference on …, 2017 - ieeexplore.ieee.org
In this survey, we present a review of methods and resources for texture recognition,
presenting the most common techniques that have been used in the recent decades, along …
presenting the most common techniques that have been used in the recent decades, along …
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 …
Wood defects classification using laws texture energy measures and supervised learning approach
Abstract Machine vision based inspection systems are in great focus nowadays for quality
control applications. The proposed work presents a novel approach for classification of …
control applications. The proposed work presents a novel approach for classification of …
Automatic detection and counting of stacked eucalypt timber using the YOLOv8 model
The objective of this project was to automate the detection and counting process of stacked
eucalypt (hybrid Eucalyptus urophylla x Eucalyptus grandis) timber in the forestry industry …
eucalypt (hybrid Eucalyptus urophylla x Eucalyptus grandis) timber in the forestry industry …
Automated color model–based concrete detection in construction-site images by using machine learning algorithms
Concrete structural component detection in color images is a key pre-process in various
applications such as construction progress measurement, structural health monitoring, and …
applications such as construction progress measurement, structural health monitoring, and …
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 …
Wood broken defect detection with laser profilometer based on Bi-LSTM network
Detecting wood broken defects through machine vision is challenging due to the similar
appearance of defect and defect-free regions on images. Laser profilometer is a reasonable …
appearance of defect and defect-free regions on images. Laser profilometer is a reasonable …
Wood construction damage detection and localization using deep convolutional neural network with transfer learning
Wood, which belongs to organic-based building materials, is useful and natural. Despite the
many benefits, environmentally exposed wooden building elements are prone to weathering …
many benefits, environmentally exposed wooden building elements are prone to weathering …
Design of an automatic wood types classification system by using fluorescence spectra
The classification of wood types is needed in many industrial sectors, since it can provide
relevant information concerning the features and characteristics of the final product …
relevant information concerning the features and characteristics of the final product …
Textural fabric defect detection using statistical texture transformations and gradient search
M Alper Selver, V Avşar, H Özdemir - The Journal of The Textile …, 2014 - Taylor & Francis
The inspection of the fabric defects is an important problem, which highly affects both the
quality and the cost in the textile industry. Because of consistency and accuracy problems …
quality and the cost in the textile industry. Because of consistency and accuracy problems …