Layered Surface Detection for Virtual Unrolling

Vedrana Andersen Dahl; Anders Bjorholm Dahl; Camilla Himmelstrup Trinderup; Carsten Gundlach

doi:10.1109/ICPR.2018.8545715

Layered Surface Detection for Virtual Unrolling

Vedrana Andersen Dahl, Anders Bjorholm Dahl, Camilla Himmelstrup Trinderup, Carsten Gundlach

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

We present a method for virtual unrolling of a thin rolled object. From a volumetric image of the rolled object we obtain a flat image of the object’s surface, which allows visual
inspection of the object and has a number of applications. Our method exploits the geometric constrains of the problem and detects a single rolled surface. For surface detection we adapt a solution to an optimal net surface problem, previously used for terrain-like and tubular surfaces. We present our approach on an example of a rolled sheet of microelectronic, which has a layer of flexible polymer substrate and a thin metal layer lithographically coated onto the polymer. Our approach is automatic and robust. The unrolled image is undistorted, and the surface structures may be accurately quantified making our approach a good candidate for an industrial application of virtual unrolling

Original language	English
Title of host publication	Proceedings of 24th International Conference on Pattern Recognition
Number of pages	7
Publisher	IEEE
Publication date	2018
Pages	3074-3080
ISBN (Electronic)	978-1-5386-3788-3
DOIs	https://doi.org/10.1109/ICPR.2018.8545715
Publication status	Published - 2018
Event	24th International Conference on Pattern Recognition - China National Convention Center, Beijing , China Duration: 20 Aug 2018 → 24 Aug 2018 http://www.icpr2018.org/

Conference

Conference	24th International Conference on Pattern Recognition
Location	China National Convention Center
Country/Territory	China
City	Beijing
Period	20/08/2018 → 24/08/2018
Internet address	http://www.icpr2018.org/

Series	International Conference on Pattern Recognition
ISSN	1051-4651

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10.1109/ICPR.2018.8545715

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title = "Layered Surface Detection for Virtual Unrolling",

abstract = "We present a method for virtual unrolling of a thin rolled object. From a volumetric image of the rolled object we obtain a flat image of the object{\textquoteright}s surface, which allows visualinspection of the object and has a number of applications. Our method exploits the geometric constrains of the problem and detects a single rolled surface. For surface detection we adapt a solution to an optimal net surface problem, previously used for terrain-like and tubular surfaces. We present our approach on an example of a rolled sheet of microelectronic, which has a layer of flexible polymer substrate and a thin metal layer lithographically coated onto the polymer. Our approach is automatic and robust. The unrolled image is undistorted, and the surface structures may be accurately quantified making our approach a good candidate for an industrial application of virtual unrolling",

author = "Dahl, {Vedrana Andersen} and Dahl, {Anders Bjorholm} and Trinderup, {Camilla Himmelstrup} and Carsten Gundlach",

year = "2018",

doi = "10.1109/ICPR.2018.8545715",

language = "English",

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publisher = "IEEE",

pages = "3074--3080",

booktitle = "Proceedings of 24th International Conference on Pattern Recognition",

address = "United States",

note = "24th International Conference on Pattern Recognition, ICPR 2018 ; Conference date: 20-08-2018 Through 24-08-2018",

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Dahl, VA , Dahl, AB, Trinderup, CH & Gundlach, C 2018, Layered Surface Detection for Virtual Unrolling. in Proceedings of 24th International Conference on Pattern Recognition. IEEE, International Conference on Pattern Recognition, pp. 3074-3080, 24th International Conference on Pattern Recognition, Beijing , China, 20/08/2018. https://doi.org/10.1109/ICPR.2018.8545715

Layered Surface Detection for Virtual Unrolling. / Dahl, Vedrana Andersen ; Dahl, Anders Bjorholm; Trinderup, Camilla Himmelstrup et al.
Proceedings of 24th International Conference on Pattern Recognition. IEEE, 2018. p. 3074-3080 (International Conference on Pattern Recognition).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - We present a method for virtual unrolling of a thin rolled object. From a volumetric image of the rolled object we obtain a flat image of the object’s surface, which allows visualinspection of the object and has a number of applications. Our method exploits the geometric constrains of the problem and detects a single rolled surface. For surface detection we adapt a solution to an optimal net surface problem, previously used for terrain-like and tubular surfaces. We present our approach on an example of a rolled sheet of microelectronic, which has a layer of flexible polymer substrate and a thin metal layer lithographically coated onto the polymer. Our approach is automatic and robust. The unrolled image is undistorted, and the surface structures may be accurately quantified making our approach a good candidate for an industrial application of virtual unrolling

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ER -

Layered Surface Detection for Virtual Unrolling

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