Wood Texture Classification using GLCM and LBP

  • Unique Paper ID: 154253
  • Volume: 8
  • Issue: 7
  • PageNo: 172-175
  • Abstract:
  • Texture classification is a challenging area in AI based research focusing on identifying the tactile surfaces of objects and scenes through the visual inspection of images. In this work, we propose to classify macroscopic images of wood species using texture descriptors and machine learning techniques. Sev- eral researches have been conducted using microscopic images of wood sections. The difficulty in practical usage of models trained in microscopic images led us to experimenting on macroscopic image datasets. We observed a significant need in developing wood recognition models to identify wood species of normal images captured using simple camera lens.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{154253,
        author = {Misaj Sharafudeen and Manju R A and Philomina Simon},
        title = {Wood Texture Classification  using GLCM and LBP},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {7},
        pages = {172-175},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154253},
        abstract = {Texture   classification  is  a  challenging  area   in  AI based  research  focusing  on  identifying  the  tactile  surfaces   of objects and scenes through the visual inspection of images. In this work, we propose  to classify macroscopic  images of wood species using texture  descriptors and  machine  learning  techniques.  Sev- eral researches have been conducted  using microscopic images of wood sections. The difficulty in practical usage of models trained in microscopic  images  led us to experimenting on macroscopic image  datasets.   We  observed  a  significant  need  in  developing wood  recognition  models  to  identify  wood  species  of  normal images captured using simple camera  lens.},
        keywords = {Texture  classification, GLCM,  LBP, PCA},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 7
  • PageNo: 172-175

Wood Texture Classification using GLCM and LBP

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