3D impurity inspection of cylindrical transparent containers

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3D impurity inspection of cylindrical transparent containers. / Kragh, Mikkel Fly; Bjerge, Kim; Ahrendt, Peter.

I: Measurement Science and Technology, Bind 28, Nr. 1, 017002 , 06.12.2016.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

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Bibtex

@article{27764fa6197d4ee680bf02d0bffa0635,
title = "3D impurity inspection of cylindrical transparent containers",
abstract = "This paper presents a method for automatically detecting and three-dimensionally positioning particles based on sequences of 2D images of rotating cylindrical transparent containers. The method can be used in the manufacturing industry by distinguishing between particles residing inside or outside a closed container. A foreign particle on the inside is a cause of rejection, whereas a particle on the outside might represent harmless dirt. The proposed method detects, tracks and positions particles and classifies containers accordingly as either rejected or accepted. Experimental results have shown an accuracy of 85% on a test set of 20 containers and an average execution time per container of 1 s.",
keywords = "visual inspection, machine vision, impurity detection",
author = "Kragh, {Mikkel Fly} and Kim Bjerge and Peter Ahrendt",
note = "Technical Note",
year = "2016",
month = dec,
day = "6",
doi = "10.1088/1361-6501/28/1/017002",
language = "English",
volume = "28",
journal = "Measurement Science and Technology",
issn = "0957-0233",
publisher = "Institute of Physics Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - 3D impurity inspection of cylindrical transparent containers

AU - Kragh, Mikkel Fly

AU - Bjerge, Kim

AU - Ahrendt, Peter

N1 - Technical Note

PY - 2016/12/6

Y1 - 2016/12/6

N2 - This paper presents a method for automatically detecting and three-dimensionally positioning particles based on sequences of 2D images of rotating cylindrical transparent containers. The method can be used in the manufacturing industry by distinguishing between particles residing inside or outside a closed container. A foreign particle on the inside is a cause of rejection, whereas a particle on the outside might represent harmless dirt. The proposed method detects, tracks and positions particles and classifies containers accordingly as either rejected or accepted. Experimental results have shown an accuracy of 85% on a test set of 20 containers and an average execution time per container of 1 s.

AB - This paper presents a method for automatically detecting and three-dimensionally positioning particles based on sequences of 2D images of rotating cylindrical transparent containers. The method can be used in the manufacturing industry by distinguishing between particles residing inside or outside a closed container. A foreign particle on the inside is a cause of rejection, whereas a particle on the outside might represent harmless dirt. The proposed method detects, tracks and positions particles and classifies containers accordingly as either rejected or accepted. Experimental results have shown an accuracy of 85% on a test set of 20 containers and an average execution time per container of 1 s.

KW - visual inspection

KW - machine vision

KW - impurity detection

U2 - 10.1088/1361-6501/28/1/017002

DO - 10.1088/1361-6501/28/1/017002

M3 - Journal article

VL - 28

JO - Measurement Science and Technology

JF - Measurement Science and Technology

SN - 0957-0233

IS - 1

M1 - 017002

ER -