Computer vision-based wood identification and its expansion and contribution potentials in wood science: A review

Wood species automatic identification from wood core images with a residual convolutional neural network

(2021) Anna Fabijańska et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Wood identification based on longitudinal section images by using deep learning

(2021) Fanyou Wu et al.   WOOD SCIENCE AND TECHNOLOGY

Detection and visualization of encoded local features as anatomical predictors in cross-sectional images of Lauraceae

(2020) Sung-Wook Hwang et al.   JOURNAL OF WOOD SCIENCE

Machine vision for field-level wood identification

(2020) Bruno Geike de Andrade et al.   IAWA JOURNAL

North American Hardwoods Identification Using Machine-Learning

(2020) Dercilio Junior Verly Lopes et al.   Forests

Computer-assisted timber identification based on features extracted from microscopic wood sections

(2020) Frederic Lens et al.   IAWA JOURNAL

An analysis of timber sections and deep learning for wood species classification

(2020) André R. de Geus et al.   MULTIMEDIA TOOLS AND APPLICATIONS

An automatic recognition system of Brazilian flora species based on textural features of macroscopic images of wood

(2020) Deivison Venicio Souza et al.   WOOD SCIENCE AND TECHNOLOGY

Comparison of two forensic wood identification technologies for ten Meliaceae woods: computer vision versus mass spectrometry

(2020) Prabu Ravindran et al.   WOOD SCIENCE AND TECHNOLOGY

Accurate and versatile 3D segmentation of plant tissues at cellular resolution

(2020) Adrian Wolny et al.   eLife

Parameter investigation of support vector machine classifier with kernel functions

(2019) Alaa Tharwat   KNOWLEDGE AND INFORMATION SYSTEMS

Non-destructive method for wood identification using conventional X-ray computed tomography data

(2019) Kayoko Kobayashi et al.   JOURNAL OF CULTURAL HERITAGE

Application of image quality assessment module to motion-blurred wood images for wood species identification system

(2019) Heshalini Rajagopal et al.   WOOD SCIENCE AND TECHNOLOGY

A protocol for automated timber species identification using metabolome profiling

(2019) V. Deklerck et al.   WOOD SCIENCE AND TECHNOLOGY

Anatomical features of Fagaceae wood statistically extracted by computer vision approaches: Some relationships with evolution

(2019) Kayoko Kobayashi et al.   PLoS One

Wood species recognition through multidimensional texture analysis

(2018) Panagiotis Barmpoutis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Classification of CITES-listed and other neotropical Meliaceae wood images using convolutional neural networks

(2018) Prabu Ravindran et al.   Plant Methods

Automatic image processing morphometric method for the analysis of tracheid double wall thickness tested on juvenile Picea omorika trees exposed to static bending

(2018) Aleksander Nedzved et al.   TREES-STRUCTURE AND FUNCTION

Deep Learning-Based Image Segmentation for Al-La Alloy Microscopic Images

(2018) Boyuan Ma et al.   Symmetry-Basel

Deep learning in biomedicine

(2018) Michael Wainberg et al.   NATURE BIOTECHNOLOGY

Fake legal logging in the Brazilian Amazon

(2018) Pedro H. S. Brancalion et al.   Science Advances

Statistical feature extraction method for wood species recognition system

(2017) Imanurfatiehah Ibrahim et al.   European Journal of Wood and Wood Products

Texture analysis of stereograms of diffuse-porous hardwood: identification of wood species used in Tripitaka Koreana

(2017) Kayoko Kobayashi et al.   JOURNAL OF WOOD SCIENCE

Automated identification of Lauraceae by scale-invariant feature transform

(2017) Sung-Wook Hwang et al.   JOURNAL OF WOOD SCIENCE

Tree species classification based on image analysis using Improved-Basic Gray Level Aura Matrix

(2016) Mohd Iz’aan Paiz Zamri et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Tree species recognition system based on macroscopic image analysis

(2016) Imanurfatiehah Ibrahim et al.   WOOD SCIENCE AND TECHNOLOGY

Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments

(2016) David A. Van Valen et al.   PLoS Computational Biology

Quantitative Wood Anatomy—Practical Guidelines

(2016) Georg von Arx et al.   Frontiers in Plant Science

How precise can wood identification be? Wood anatomy’s role in support of the legal timber trade, especially cites

(2016)   IAWA JOURNAL

Inside Wood – A Web resource for hardwood anatomy

(2016)   IAWA JOURNAL

Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species

(2015) Arvind R. Yadav et al.   APPLIED SOFT COMPUTING

Forensic timber identification: It's time to integrate disciplines to combat illegal logging

(2015) Eleanor E. Dormontt et al.   BIOLOGICAL CONSERVATION

FORENSIC ANALYSIS OF CITES-PROTECTED DALBERGIA TIMBER FROM THE AMERICAS

(2015) Edgard O. Espinoza et al.   IAWA JOURNAL

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Automated recognition of wood used in traditional Japanese sculptures by texture analysis of their low-resolution computed tomography data

(2015) Kayoko Kobayashi et al.   JOURNAL OF WOOD SCIENCE

Forest species recognition based on dynamic classifier selection and dissimilarity feature vector representation

(2015) J. G. Martins et al.   MACHINE VISION AND APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Gaussian image pyramid based texture features for classification of microscopic images of hardwood species

(2015) Arvind R. Yadav et al.   OPTIK

Metabolic chemotypes of CITES protectedDalbergiatimbers from Africa, Madagascar, and Asia

(2015) Pamela J. McClure et al.   RAPID COMMUNICATIONS IN MASS SPECTROMETRY

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

Automatic identification and characterization of radial files in light microscopy images of wood

(2014) Guilhem Brunel et al.   ANNALS OF BOTANY

Forest species recognition using macroscopic images

(2014) Pedro L. Paula Filho et al.   MACHINE VISION AND APPLICATIONS

Feature Based Stereo Matching Using Two-Step Expansion

(2014) Liqiang Wang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Wood species identification using improved active shape model

(2014) Peng Zhao et al.   OPTIK

Application of kernel-genetic algorithm as nonlinear feature selection in tropical wood species recognition system

(2013) Rubiyah Yusof et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

ROXAS – A new tool to build centuries-long tracheid-lumen chronologies in conifers

(2013) Georg von Arx et al.   DENDROCHRONOLOGIA

DNA barcoding for identification of the endangered species Aquilaria sinensis: comparison of data from heated or aged wood samples

(2013) Lichao Jiao et al.   HOLZFORSCHUNG

Fuzzy logic-based pre-classifier for tropical wood species recognition system

(2013) Rubiyah Yusof et al.   MACHINE VISION AND APPLICATIONS

Wood species identification using feature-level fusion scheme

(2013) Peng Zhao et al.   OPTIK

Wood Recognition Using Image Texture Features

(2013) Hang-jun Wang et al.   PLoS One

Cell Segmentation: 50 Years Down the Road [Life Sciences]

(2012) Erik Meijering   IEEE SIGNAL PROCESSING MAGAZINE

Local plant species delimitation in a highly diverse Amazonian forest: do we all see the same species?

(2012) Ana C.S. Gomes et al.   JOURNAL OF VEGETATION SCIENCE

A database for automatic classification of forest species

(2012) J. Martins et al.   MACHINE VISION AND APPLICATIONS

A new Gabor based approach for wood recognition

(2012) Hang-jun Wang et al.   NEUROCOMPUTING

Robust wood species recognition using variable color information

(2012) Peng Zhao   OPTIK

Discrimination of the geographical origin of Codonopsis pilosula using near infrared diffuse reflection spectroscopy coupled with random forests and k-nearest neighbor methods

(2012) Boxia Li et al.   VIBRATIONAL SPECTROSCOPY

Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics

(2012) Anne-Laure Boulesteix et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

The gray level aura matrices for textured image segmentation

(2011) Zohra Haliche et al.   ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING

Classification of wood micrographs by image segmentation

(2011) Abhirup Mallik et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Evaluation of candidate DNA barcoding loci for economically important timber species of the mahogany family (Meliaceae)

(2011) A.N. MUELLNER et al.   Molecular Ecology Resources

Segmentation of pores in wood microscopic images based on mathematical morphology with a variable structuring element

(2010) Shen Pan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Near infrared spectroscopy (NIRS) as a potential tool for monitoring trade of similar woods: Discrimination of true mahogany, cedar, andiroba, and curupixá

(2010) Tereza Cristina Monteiro Pastore et al.   HOLZFORSCHUNG

Stable carbon isotopes of tree rings as a tool to pinpoint the geographic origin of timber

(2010) Akira Kagawa et al.   JOURNAL OF WOOD SCIENCE

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Studying global change through investigation of the plastic responses of xylem anatomy in tree rings

(2009) Patrick Fonti et al.   NEW PHYTOLOGIST

Control of origin of larch wood: discrimination between European (Austrian) and Siberian origin by stable isotope analysis

(2009) Micha Horacek et al.   RAPID COMMUNICATIONS IN MASS SPECTROMETRY