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

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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. s. 497-500 7153239.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

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

APA

Hansson, N. M., Enescu, A., & Brandt, S. S. (2015). Knot detection in X-ray images of wood planks using dictionary learning. I Proceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA) (s. 497-500). [7153239] IEEE. https://doi.org/10.1109/MVA.2015.7153239

Vancouver

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

Author

Hansson, Nils Mattias ; Enescu, Alexandru ; Brandt, Sami Sebastian. / Knot detection in X-ray images of wood planks using dictionary learning. Proceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA). IEEE, 2015. s. 497-500

Bibtex

@inproceedings{26c105eddc0e43159519ca8ef8c33799,
title = "Knot detection in X-ray images of wood planks using dictionary learning",
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.",
author = "Hansson, {Nils Mattias} and Alexandru Enescu and Brandt, {Sami Sebastian}",
year = "2015",
doi = "10.1109/MVA.2015.7153239",
language = "English",
isbn = "9784901122153",
pages = "497--500",
booktitle = "Proceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA)",
publisher = "IEEE",
note = "null ; Conference date: 18-05-2015 Through 22-05-2015",

}

RIS

TY - GEN

T1 - Knot detection in X-ray images of wood planks using dictionary learning

AU - Hansson, Nils Mattias

AU - Enescu, Alexandru

AU - Brandt, Sami Sebastian

N1 - Conference code: 14

PY - 2015

Y1 - 2015

N2 - 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.

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.

U2 - 10.1109/MVA.2015.7153239

DO - 10.1109/MVA.2015.7153239

M3 - Article in proceedings

AN - SCOPUS:84941199782

SN - 9784901122153

SP - 497

EP - 500

BT - Proceedings of the 14th IAPR International Conference on Machine Vision Applications (MVA)

PB - IEEE

Y2 - 18 May 2015 through 22 May 2015

ER -

ID: 159820104