Automatic evaluation of degradation of paint coatings through EM algorithm

Xavier Quintana; Elisa Martínez; Javier Melenchón

doi:10.1109/ICIP.2003.1247307

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 Book › Conference contribution › peer-review

2 Citations (Scopus)

57 Downloads (Pure)

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 language	English
Title of host publication	IEEE International Conference on Image Processing
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	565-568
Number of pages	4
Volume	3
ISBN (Print)	9780780377508
DOIs	https://doi.org/10.1109/ICIP.2003.1247307
Publication status	Published - 14 Sept 2003
Externally published	Yes
Event	Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: 14 Sept 2003 → 17 Sept 2003

Conference

Conference	Proceedings: 2003 International Conference on Image Processing, ICIP-2003
Country/Territory	Spain
City	Barcelona
Period	14/09/03 → 17/09/03

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10.1109/ICIP.2003.1247307

Conference contributionFinal published version, 455 KB

Cite this

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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",

year = "2003",

month = sep,

day = "14",

doi = "10.1109/ICIP.2003.1247307",

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booktitle = "IEEE International Conference on Image Processing",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

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note = "Proceedings: 2003 International Conference on Image Processing, ICIP-2003 ; Conference date: 14-09-2003 Through 17-09-2003",

}

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, Institute of Electrical and Electronics Engineers, 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, Institute of Electrical and Electronics Engineers, 2003. p. 565-568.

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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

Y1 - 2003/9/14

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

KW - Visual analysis

KW - Image segmentation

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M3 - Conference contribution

AN - SCOPUS:0345565674

SN - 9780780377508

VL - 3

SP - 565

EP - 568

BT - IEEE International Conference on Image Processing

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - Proceedings: 2003 International Conference on Image Processing, ICIP-2003

Y2 - 14 September 2003 through 17 September 2003

ER -

Automatic evaluation of degradation of paint coatings through EM algorithm

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