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

Nils Mattias Hansson, Alexandru Enescu, Sami Sebastian Brandt

Abstract

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.

OriginalsprogEngelsk
TitelProceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA)
Antal sider4
ForlagIEEE
Publikationsdato2015
Sider497-500
Artikelnummer7153239
ISBN (Trykt)9784901122153
DOI
StatusUdgivet - 2015
Begivenhed14th IAPR International Conference on Machine Vision Applications - Miraikan, Tokyo, Japan
Varighed: 18 maj 201522 maj 2015
Konferencens nummer: 14

Konference

Konference14th IAPR International Conference on Machine Vision Applications
Nummer14
LokationMiraikan
Land/OmrådeJapan
ByTokyo
Periode18/05/201522/05/2015

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