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

Nils Mattias Hansson; Alexandru Enescu; Sami Sebastian Brandt

doi:10.1109/MVA.2015.7153239

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

Nils Mattias Hansson, Alexandru Enescu, Sami Sebastian Brandt

Department of Computer Science

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.

Original language	English
Title of host publication	Proceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA)
Number of pages	4
Publisher	IEEE
Publication date	2015
Pages	497-500
Article number	7153239
ISBN (Print)	9784901122153
DOIs	https://doi.org/10.1109/MVA.2015.7153239
Publication status	Published - 2015
Event	14th IAPR International Conference on Machine Vision Applications - Miraikan, Tokyo, Japan Duration: 18 May 2015 → 22 May 2015 Conference number: 14

Conference

Conference	14th IAPR International Conference on Machine Vision Applications
Number	14
Location	Miraikan
Country/Territory	Japan
City	Tokyo
Period	18/05/2015 → 22/05/2015

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10.1109/MVA.2015.7153239

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Knot detection in X-ray images of wood planks using dictionary learning. / Hansson, Nils Mattias; Enescu, Alexandru; Brandt, Sami Sebastian.

Proceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA). IEEE, 2015. p. 497-500 7153239.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Hansson, NM, Enescu, A & Brandt, SS 2015, Knot detection in X-ray images of wood planks using dictionary learning. in Proceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA)., 7153239, IEEE, pp. 497-500, 14th IAPR International Conference on Machine Vision Applications, Tokyo, Japan, 18/05/2015. https://doi.org/10.1109/MVA.2015.7153239

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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.",

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AB - 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.

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ER -

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

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