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Conference paper

Layered Surface Detection for Virtual Unrolling

From

Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Statistics and Data Analysis, Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark3

Department of Physics, Technical University of Denmark4

Neutrons and X-rays for Materials Physics, Department of Physics, Technical University of Denmark5

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

Language: English
Publisher: IEEE
Year: 2018
Pages: 3074-3080
Proceedings: 24th International Conference on Pattern Recognition
Series: International Conference on Pattern Recognition
ISBN: 1538637871 , 153863788X , 153863788x , 1538637898 , 9781538637876 , 9781538637883 and 9781538637890
ISSN: 10514651
Types: Conference paper
DOI: 10.1109/ICPR.2018.8545715
ORCIDs: Dahl, Vedrana Andersen , Dahl, Anders Bjorholm , Trinderup, Camilla Himmelstrup and Gundlach, Carsten

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