A vision system for online wear detection

Jianbo Zhang; Maarten Korsten; Paul Regtien

A vision system for online wear detection

Jianbo Zhang, Maarten Korsten, Paul Regtien

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Wear detection has traditionally restricted itself to offline study and measurement. In this paper a vision system for online monitoring and detection of wear is described. This system uses a video zoom microscope and a high-resolution monochrome camera to capture the image series of a moving surface under study. An algorithm based on multichannel filtering for the detection of wear patterns is presented. The wear patterns are extracted by filtering the acquired image using a Gabor filter bank with multiple narrow spatial frequency and orientation channels. Experiments show the feasibility and usefulness of the proposed vision system and detection method of wear patterns.

Original language	English
Title of host publication	XVII IMEKO World Congress : Metrology in the 3rd millennium
Subtitle of host publication	Book of summaries: June 22-27, 2003 Dubrovnik, Croatia
Editors	Damir Ilić, Mladen Boršić, Josip Butorac
Place of Publication	Dubrovnik, Croatia
Publisher	Croatian Metrology Society
Number of pages	5
ISBN (Electronic)	978-953-7124-00-7
ISBN (Print)	978-953-9609-39-7
Publication status	Published - 22 Jun 2003
Event	XVII IMEKO World Congress 2003: Metrology in the 3rd Millennium - Dubrovnik, Croatia Duration: 22 Jun 2003 → 27 Jun 2003 Conference number: 17

Conference

Conference	XVII IMEKO World Congress 2003
Country	Croatia
City	Dubrovnik
Period	22/06/03 → 27/06/03

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title = "A vision system for online wear detection",

abstract = "Wear detection has traditionally restricted itself to offline study and measurement. In this paper a vision system for online monitoring and detection of wear is described. This system uses a video zoom microscope and a high-resolution monochrome camera to capture the image series of a moving surface under study. An algorithm based on multichannel filtering for the detection of wear patterns is presented. The wear patterns are extracted by filtering the acquired image using a Gabor filter bank with multiple narrow spatial frequency and orientation channels. Experiments show the feasibility and usefulness of the proposed vision system and detection method of wear patterns.",

author = "Jianbo Zhang and Maarten Korsten and Paul Regtien",

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booktitle = "XVII IMEKO World Congress : Metrology in the 3rd millennium",

publisher = "Croatian Metrology Society",

note = "XVII IMEKO World Congress 2003 : Metrology in the 3rd Millennium ; Conference date: 22-06-2003 Through 27-06-2003",

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A vision system for online wear detection. / Zhang, Jianbo; Korsten, Maarten ; Regtien, Paul.

XVII IMEKO World Congress : Metrology in the 3rd millennium: Book of summaries: June 22-27, 2003 Dubrovnik, Croatia. ed. / Damir Ilić; Mladen Boršić; Josip Butorac. Dubrovnik, Croatia : Croatian Metrology Society, 2003.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - A vision system for online wear detection

AU - Zhang, Jianbo

AU - Korsten, Maarten

AU - Regtien, Paul

N1 - Conference code: 17

PY - 2003/6/22

Y1 - 2003/6/22

N2 - Wear detection has traditionally restricted itself to offline study and measurement. In this paper a vision system for online monitoring and detection of wear is described. This system uses a video zoom microscope and a high-resolution monochrome camera to capture the image series of a moving surface under study. An algorithm based on multichannel filtering for the detection of wear patterns is presented. The wear patterns are extracted by filtering the acquired image using a Gabor filter bank with multiple narrow spatial frequency and orientation channels. Experiments show the feasibility and usefulness of the proposed vision system and detection method of wear patterns.

AB - Wear detection has traditionally restricted itself to offline study and measurement. In this paper a vision system for online monitoring and detection of wear is described. This system uses a video zoom microscope and a high-resolution monochrome camera to capture the image series of a moving surface under study. An algorithm based on multichannel filtering for the detection of wear patterns is presented. The wear patterns are extracted by filtering the acquired image using a Gabor filter bank with multiple narrow spatial frequency and orientation channels. Experiments show the feasibility and usefulness of the proposed vision system and detection method of wear patterns.

M3 - Conference contribution

SN - 978-953-9609-39-7

BT - XVII IMEKO World Congress : Metrology in the 3rd millennium

A2 - Ilić, Damir

A2 - Boršić, Mladen

A2 - Butorac, Josip

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T2 - XVII IMEKO World Congress 2003

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