Knot detection in X-ray images of wood planks using dictionary learning

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • Nils Mattias Hansson
  • Alexandru Enescu
  • Sami Sebastian Brandt

This paper considers a novel application of x-ray imaging of planks, for the purpose of detecting knots in high quality furniture wood. X-ray imaging allows the detection of knots invisible from the surface to conventional cameras. Our approach is based on texture analysis, or more specifically, discriminative dictionary learning. Experiments show that the knot detection and segmentation can be accurately performed by our approach. This is a promising result and can be directly applied in industrial processing of furniture wood.

Original languageEnglish
Title of host publicationProceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA)
Number of pages4
PublisherIEEE
Publication date2015
Pages497-500
Article number7153239
ISBN (Print)9784901122153
DOIs
Publication statusPublished - 2015
Event14th IAPR International Conference on Machine Vision Applications - Miraikan, Tokyo, Japan
Duration: 18 May 201522 May 2015
Conference number: 14

Conference

Conference14th IAPR International Conference on Machine Vision Applications
Nummer14
LocationMiraikan
LandJapan
ByTokyo
Periode18/05/201522/05/2015

ID: 159820104