Forest species recognition using macroscopic images
- 28 January 2014
- journal article
- research article
- Published by Springer Science and Business Media LLC in Machine Vision and Applications
- Vol. 25 (4), 1019-1031
- https://doi.org/10.1007/s00138-014-0592-7
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Machine scheduling in custom furniture industry through neuro-evolutionary hybridizationApplied Soft Computing, 2011
- Ensemble-based classifiersArtificial Intelligence Review, 2009
- Description of interest regions with local binary patternsPattern Recognition, 2009
- Estimation of Wood Density and Chemical Composition by Means of Diffuse Reflectance Mid-Infrared Fourier Transform (DRIFT-MIR) SpectroscopyJournal of Agricultural and Food Chemistry, 2005
- Near-Infrared Spectroscopic Study of the Physical and Mechanical Properties of Wood with Meso- and Micro-Scale Anatomical ObservationApplied Spectroscopy, 2005
- Fourier Transform Infrared Studies of Heterogeneity, Photodegradation, and Lignin/Hemicellulose Ratios within Hardwoods and SoftwoodsApplied Spectroscopy, 2004
- Multiresolution gray-scale and rotation invariant texture classification with local binary patternsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Raman Spectroscopy and Genetic Algorithms for the Classification of Wood TypesApplied Spectroscopy, 2001
- On combining classifiersIEEE Transactions on Pattern Analysis and Machine Intelligence, 1998
- Characterization and Measurement of Random FractalsPhysica Scripta, 1986