Automatic evaluation of degradation of paint coatings through EM algorithm

Xavier Quintana, Elisa Martínez, Javier Melenchón

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

An unsupervised application for the visual analysis of metallic substrates and paint coatings is presented. Model based classification is used for the analysis of metallic substrates while a segmentation of the image is required to distinguish between paint and substrate or between paint and rust for the analysis of paint coatings. A unified framework based on the Expectation-Maximization (EM) algorithm is presented to solve both analyses. The EM algorithm is used both as a colour-based identification method for measuring cleanness properties of the substrate's surface, and also as a colour-based segmentation method for extracting the paint regions of the coating's surface. An initialisation method and a pre-processing step are proposed to avoid false segmentations. Experimental results on real samples show more repeatability and accuracy than the results obtained by human visual inspection. Each analysis has been visually illustrated with a representative example.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE
Pages565-568
Number of pages4
Volume3
ISBN (Print)9780780377508
DOIs
Publication statusPublished - 14 Sep 2003
Externally publishedYes
EventProceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain
Duration: 14 Sep 200317 Sep 2003

Conference

ConferenceProceedings: 2003 International Conference on Image Processing, ICIP-2003
CountrySpain
CityBarcelona
Period14/09/0317/09/03

Fingerprint

Paint
Degradation
Coatings
Substrates
Color
Inspection
Processing

Cite this

Quintana, X., Martínez, E., & Melenchón, J. (2003). Automatic evaluation of degradation of paint coatings through EM algorithm. In IEEE International Conference on Image Processing (Vol. 3, pp. 565-568). IEEE. https://doi.org/10.1109/ICIP.2003.1247307
Quintana, Xavier ; Martínez, Elisa ; Melenchón, Javier. / Automatic evaluation of degradation of paint coatings through EM algorithm. IEEE International Conference on Image Processing. Vol. 3 IEEE, 2003. pp. 565-568
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title = "Automatic evaluation of degradation of paint coatings through EM algorithm",
abstract = "An unsupervised application for the visual analysis of metallic substrates and paint coatings is presented. Model based classification is used for the analysis of metallic substrates while a segmentation of the image is required to distinguish between paint and substrate or between paint and rust for the analysis of paint coatings. A unified framework based on the Expectation-Maximization (EM) algorithm is presented to solve both analyses. The EM algorithm is used both as a colour-based identification method for measuring cleanness properties of the substrate's surface, and also as a colour-based segmentation method for extracting the paint regions of the coating's surface. An initialisation method and a pre-processing step are proposed to avoid false segmentations. Experimental results on real samples show more repeatability and accuracy than the results obtained by human visual inspection. Each analysis has been visually illustrated with a representative example.",
keywords = "Color image processing, Degradation, Paint, Color segmentation, Visual analysis, Image segmentation",
author = "Xavier Quintana and Elisa Mart{\'i}nez and Javier Melench{\'o}n",
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Quintana, X, Martínez, E & Melenchón, J 2003, Automatic evaluation of degradation of paint coatings through EM algorithm. in IEEE International Conference on Image Processing. vol. 3, IEEE, pp. 565-568, Proceedings: 2003 International Conference on Image Processing, ICIP-2003, Barcelona, Spain, 14/09/03. https://doi.org/10.1109/ICIP.2003.1247307

Automatic evaluation of degradation of paint coatings through EM algorithm. / Quintana, Xavier; Martínez, Elisa; Melenchón, Javier.

IEEE International Conference on Image Processing. Vol. 3 IEEE, 2003. p. 565-568.

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Automatic evaluation of degradation of paint coatings through EM algorithm

AU - Quintana, Xavier

AU - Martínez, Elisa

AU - Melenchón, Javier

PY - 2003/9/14

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N2 - An unsupervised application for the visual analysis of metallic substrates and paint coatings is presented. Model based classification is used for the analysis of metallic substrates while a segmentation of the image is required to distinguish between paint and substrate or between paint and rust for the analysis of paint coatings. A unified framework based on the Expectation-Maximization (EM) algorithm is presented to solve both analyses. The EM algorithm is used both as a colour-based identification method for measuring cleanness properties of the substrate's surface, and also as a colour-based segmentation method for extracting the paint regions of the coating's surface. An initialisation method and a pre-processing step are proposed to avoid false segmentations. Experimental results on real samples show more repeatability and accuracy than the results obtained by human visual inspection. Each analysis has been visually illustrated with a representative example.

AB - An unsupervised application for the visual analysis of metallic substrates and paint coatings is presented. Model based classification is used for the analysis of metallic substrates while a segmentation of the image is required to distinguish between paint and substrate or between paint and rust for the analysis of paint coatings. A unified framework based on the Expectation-Maximization (EM) algorithm is presented to solve both analyses. The EM algorithm is used both as a colour-based identification method for measuring cleanness properties of the substrate's surface, and also as a colour-based segmentation method for extracting the paint regions of the coating's surface. An initialisation method and a pre-processing step are proposed to avoid false segmentations. Experimental results on real samples show more repeatability and accuracy than the results obtained by human visual inspection. Each analysis has been visually illustrated with a representative example.

KW - Color image processing

KW - Degradation

KW - Paint

KW - Color segmentation

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DO - 10.1109/ICIP.2003.1247307

M3 - Conference contribution

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BT - IEEE International Conference on Image Processing

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Quintana X, Martínez E, Melenchón J. Automatic evaluation of degradation of paint coatings through EM algorithm. In IEEE International Conference on Image Processing. Vol. 3. IEEE. 2003. p. 565-568 https://doi.org/10.1109/ICIP.2003.1247307