Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings

Computing and Communications

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings. / Lawman, Samuel; Williams, Bryan M.; Zhang, Jinke et al.
In: Applied Sciences, Vol. 7, No. 4, 351, 01.04.2017.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Lawman, S, Williams, BM, Zhang, J, Shen, YC & Zheng, Y 2017, 'Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings', Applied Sciences, vol. 7, no. 4, 351. https://doi.org/10.3390/app7040351

APA

Lawman, S., Williams, B. M., Zhang, J., Shen, Y. C., & Zheng, Y. (2017). Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings. Applied Sciences, 7(4), Article 351. https://doi.org/10.3390/app7040351

Vancouver

Lawman S, Williams BM, Zhang J, Shen YC, Zheng Y. Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings. Applied Sciences. 2017 Apr 1;7(4):351. doi: 10.3390/app7040351

Author

Lawman, Samuel ; Williams, Bryan M. ; Zhang, Jinke et al. / Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings. In: Applied Sciences. 2017 ; Vol. 7, No. 4.

Bibtex

@article{5775af89139d440d8b26d75b089ab399,

title = "Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings",

abstract = "The measurement of the thicknesses of layers is important for the quality assurance of industrial coating systems. Current measurement techniques only provide a limited amount of information. Here, we show that spectral domain Line Field (LF) Optical Coherence Tomography (OCT) is able to return to the user a cross sectional B-Scan image in a single shot with no mechanical moving parts. To reliably extract layer thicknesses from such images of automotive paint systems, we present an automatic graph search image segmentation algorithm. To show that the algorithm works independently of the OCT device, the measurements are repeated with a separate time domain Full Field (FF) OCT system. This gives matching mean thickness values within the standard deviations of the measured thicknesses across each B-Scan image. The combination of an LF-OCT with graph search segmentation is potentially a powerful technique for the quality assurance of non-opaque industrial coating layers.",

keywords = "Coatings, Graph search, Image segmentation, Line field, Optical coherence tomography, Quality assurance, Spectral domain, Time domain",

author = "Samuel Lawman and Williams, {Bryan M.} and Jinke Zhang and Shen, {Yao Chun} and Yalin Zheng",

year = "2017",

month = apr,

day = "1",

doi = "10.3390/app7040351",

language = "English",

volume = "7",

journal = "Applied Sciences",

issn = "2076-3417",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "4",

}

RIS

TY - JOUR

T1 - Scan-less line field optical coherence tomography, with automatic image segmentation, as a measurement tool for automotive coatings

AU - Lawman, Samuel

AU - Williams, Bryan M.

AU - Zhang, Jinke

AU - Shen, Yao Chun

AU - Zheng, Yalin

PY - 2017/4/1

Y1 - 2017/4/1

N2 - The measurement of the thicknesses of layers is important for the quality assurance of industrial coating systems. Current measurement techniques only provide a limited amount of information. Here, we show that spectral domain Line Field (LF) Optical Coherence Tomography (OCT) is able to return to the user a cross sectional B-Scan image in a single shot with no mechanical moving parts. To reliably extract layer thicknesses from such images of automotive paint systems, we present an automatic graph search image segmentation algorithm. To show that the algorithm works independently of the OCT device, the measurements are repeated with a separate time domain Full Field (FF) OCT system. This gives matching mean thickness values within the standard deviations of the measured thicknesses across each B-Scan image. The combination of an LF-OCT with graph search segmentation is potentially a powerful technique for the quality assurance of non-opaque industrial coating layers.

AB - The measurement of the thicknesses of layers is important for the quality assurance of industrial coating systems. Current measurement techniques only provide a limited amount of information. Here, we show that spectral domain Line Field (LF) Optical Coherence Tomography (OCT) is able to return to the user a cross sectional B-Scan image in a single shot with no mechanical moving parts. To reliably extract layer thicknesses from such images of automotive paint systems, we present an automatic graph search image segmentation algorithm. To show that the algorithm works independently of the OCT device, the measurements are repeated with a separate time domain Full Field (FF) OCT system. This gives matching mean thickness values within the standard deviations of the measured thicknesses across each B-Scan image. The combination of an LF-OCT with graph search segmentation is potentially a powerful technique for the quality assurance of non-opaque industrial coating layers.

KW - Coatings

KW - Graph search

KW - Image segmentation

KW - Line field

KW - Optical coherence tomography

KW - Quality assurance

KW - Spectral domain

KW - Time domain

U2 - 10.3390/app7040351

DO - 10.3390/app7040351

M3 - Journal article

AN - SCOPUS:85017335232

VL - 7

JO - Applied Sciences

JF - Applied Sciences

SN - 2076-3417

IS - 4

M1 - 351

ER -

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