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Accurate and automated image segmentation of 3D optical coherence tomography data suffering from low signal-to-noise levels
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Metrology and Optics. (Industrial Metrology and Optics)ORCID iD: 0000-0003-0776-3716
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Metrology and Optics.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Metrology and Optics.ORCID iD: 0000-0002-0105-4102
2014 (English)In: Journal of the Optical Society of America A, ISSN 0740-3232, Vol. 31, no 12, 2551-2560 p.Article in journal (Refereed) Published
Abstract [en]

Optical coherence tomography (OCT) has proven to be a useful tool for investigating internal structures in ceramic tapes, and the technique is expected to be important for roll-to-roll manufacturing. However, because of high scattering in ceramic materials, noise and speckles deteriorate the image quality, which makes automated quantitative measurements of internal interfaces difficult. To overcome this difficulty we present in this paper an innovative image analysis approach based on volumetric OCT data. The engine in the analysis is a 3D image processing and analysis algorithm. It is dedicated to boundary segmentation and dimensional measurement in volumetric OCT images, and offers high accuracy, efficiency, robustness, subpixel resolution, and a fully automated operation. The method relies on the correlation property of a physical interface and effectively eliminates pixels caused by noise and speckles. The remaining pixels being stored are the ones confirmed to be related to the target interfaces. Segmentation of tilted and curved internal interfaces separated by similar to 10 mu m in the Z direction is demonstrated. The algorithm also extracts full-field top-view intensity maps of the target interfaces for high-accuracy measurements in the X and Y directions. The methodology developed here may also be adopted in other similar 3D imaging and measurement technologies, e.g., ultrasound imaging, and for various materials.

Place, publisher, year, edition, pages
Optical Society of America, 2014. Vol. 31, no 12, 2551-2560 p.
Keyword [en]
Three-dimensional image processing, Tomographic image processing, Noise in imaging systems, Optical coherence tomography, Optical inspection, Industrial optical metrology
National Category
Other Physics Topics
Research subject
SRA - Production
Identifiers
URN: urn:nbn:se:kth:diva-155763DOI: 10.1364/JOSAA.31.002551ISI: 000345902400007Scopus ID: 2-s2.0-84942372053OAI: oai:DiVA.org:kth-155763DiVA: diva2:762802
Funder
XPRES - Initiative for excellence in production research
Note

QC 20141119

Available from: 2014-11-12 Created: 2014-11-12 Last updated: 2017-12-05Bibliographically approved
In thesis
1. Improved inspection and micrometrology of embedded structures in multi-layered ceramics: Development of optical coherence tomographic methods and tools
Open this publication in new window or tab >>Improved inspection and micrometrology of embedded structures in multi-layered ceramics: Development of optical coherence tomographic methods and tools
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Roll-to-roll manufacturing of micro components based on advanced printing, structuring and lamination of ceramic tapes is rapidly progressing. This large-scale and cost-effective manufacturing process of ceramic micro devices is however prone to hide defects within the visually opaque tape stacks. To achieve a sustainable manufacturing with zero defects in the future, there is an urgent need for reliable inspection systems. The systems to be developed have to perform high-resolution in-process quality control at high speed. Optical coherence tomography (OCT) is a promising technology for detailed in-depth inspection and metrology. Combined with infrared screening of larger areas it can solve the inspection demands in the roll-to-roll ceramic tape processes. In this thesis state-of-art commercial and laboratory OCT systems, operating at the central wavelength of 1.3 µm and 1.7 µm respectively, are evaluated for detecting microchannels, metal prints, defects and delaminations embedded in alumina and zirconia ceramic layers at hundreds of micrometers beneath surfaces.

The effect of surface roughness induced scattering and scattering by pores on the probing radiation, is analyzed by experimentally captured and theoretically simulated OCT images of the ceramic samples, while varying surface roughnesses and operating wavelengths. By extending the Monte Carlo simulations of the OCT response to the mid-infrared the optimal operating wavelength is found to be 4 µm for alumina and 2 µm for zirconia. At these wavelengths we predict a sufficient probing depth of about 1 mm and we demonstrate and discuss the effect of rough surfaces on the detectability of embedded boundaries.

For high-precision measurement a new and automated 3D image processing algorithm for analysis of volumetric OCT data is developed. We show its capability by measuring the geometric dimensions of embedded structures in ceramic layers, extracting features with irregular shapes and detecting geometric deformations. The method demonstrates its suitability for industrial applications by rapid inspection of manufactured samples with high accuracy and robustness.

The new inspection methods we demonstrate are finally analyzed in the context of measurement uncertainty, both in the axial and lateral cases, and reveal that scattering in the sample indeed affects the lateral measurement uncertainty. Two types of image artefacts are found to be present in OCT images due to multiple reflections between neighboring boundaries and inhomogeneity of refractive index. A wavefront aberration is found in the OCT system with a scanning scheme of two galvo mirrors, and it can be corrected using our image processing algorithm.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. xi, 134 p.
Series
TRITA-IIP, ISSN 1650-1888 ; 14:01
Keyword
Metrology, Optical Coherence Tomography, Ceramics, Embedded Structure, Multilayer, Nondestructive Testing, Optical Inspection, Critical Dimension Measurement, Infrared Imaging, Scattering, Mie Calculation, Image Processing, Monte Carlo Simulation, 测量学, 光学相干断层扫描术,陶瓷,嵌入式结构,多层,无损检测,光学检测,关键尺寸测量,红外成像,散射,Mie计算,图像处理,Monte Carlo模拟
National Category
Engineering and Technology
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-144595 (URN)978-91-7595-090-7 (ISBN)
Public defence
2014-05-16, Brinellsalen, M311, Brinellvägen 68, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Projects
Multilayer (FP7-NMP4-2007-214122)
Funder
XPRES - Initiative for excellence in production researchEU, FP7, Seventh Framework Programme, FP7-NMP4-2007-214122
Note

QC 20140428

Available from: 2014-04-28 Created: 2014-04-25 Last updated: 2015-01-16Bibliographically approved

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3D image processing(2060 kB)549 downloads
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