Image Processing Algorithm for Real-Time Crack Inspection in Hole Expansion Test

Seungho Choi; Kwangyoon Kim; Jaeho Lee; Sung Hyuk Park; Hye Jin Lee; Jonghun Yoon

doi:10.1007/s12541-019-00101-4

Image Processing Algorithm for Real-Time Crack Inspection in Hole Expansion Test

Seungho Choi, Kwangyoon Kim, Jaeho Lee, Sung Hyuk Park, Hye Jin Lee, Jonghun Yoon

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

This paper mainly focuses on development of the smart crack inspection algorithm facilitating the through-thickness crack during the hole expansion test, which makes it possible to calculate the hole expansion ratio, automatically, with the image processing technique. The proposed crack inspection algorithm consists of six steps such as binarization, blob detection, background deletion, ROI selection, image linearization, and crack identification using the C# language. This algorithm is able to capture the various types of the through-thickness and double cracks irrespective of the reflectance and the initial thickness of the applied sheet materials. In addition, it is possible to keep trace of the in-plane crack and its propagation during the HER test.

Original language	English
Pages (from-to)	1139-1148
Number of pages	10
Journal	International Journal of Precision Engineering and Manufacturing
Volume	20
Issue number	7
DOIs	https://doi.org/10.1007/s12541-019-00101-4
State	Published - 1 Jul 2019

Keywords

Binarization
Crack
Greyscale value
Hole expansion ratio (HER)
Imaging processing
Zinc-coating

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10.1007/s12541-019-00101-4

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title = "Image Processing Algorithm for Real-Time Crack Inspection in Hole Expansion Test",

abstract = "This paper mainly focuses on development of the smart crack inspection algorithm facilitating the through-thickness crack during the hole expansion test, which makes it possible to calculate the hole expansion ratio, automatically, with the image processing technique. The proposed crack inspection algorithm consists of six steps such as binarization, blob detection, background deletion, ROI selection, image linearization, and crack identification using the C# language. This algorithm is able to capture the various types of the through-thickness and double cracks irrespective of the reflectance and the initial thickness of the applied sheet materials. In addition, it is possible to keep trace of the in-plane crack and its propagation during the HER test.",

keywords = "Binarization, Crack, Greyscale value, Hole expansion ratio (HER), Imaging processing, Zinc-coating",

author = "Seungho Choi and Kwangyoon Kim and Jaeho Lee and Park, {Sung Hyuk} and Lee, {Hye Jin} and Jonghun Yoon",

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AU - Choi, Seungho

AU - Kim, Kwangyoon

AU - Lee, Jaeho

AU - Park, Sung Hyuk

AU - Lee, Hye Jin

AU - Yoon, Jonghun

PY - 2019/7/1

Y1 - 2019/7/1

N2 - This paper mainly focuses on development of the smart crack inspection algorithm facilitating the through-thickness crack during the hole expansion test, which makes it possible to calculate the hole expansion ratio, automatically, with the image processing technique. The proposed crack inspection algorithm consists of six steps such as binarization, blob detection, background deletion, ROI selection, image linearization, and crack identification using the C# language. This algorithm is able to capture the various types of the through-thickness and double cracks irrespective of the reflectance and the initial thickness of the applied sheet materials. In addition, it is possible to keep trace of the in-plane crack and its propagation during the HER test.

AB - This paper mainly focuses on development of the smart crack inspection algorithm facilitating the through-thickness crack during the hole expansion test, which makes it possible to calculate the hole expansion ratio, automatically, with the image processing technique. The proposed crack inspection algorithm consists of six steps such as binarization, blob detection, background deletion, ROI selection, image linearization, and crack identification using the C# language. This algorithm is able to capture the various types of the through-thickness and double cracks irrespective of the reflectance and the initial thickness of the applied sheet materials. In addition, it is possible to keep trace of the in-plane crack and its propagation during the HER test.

KW - Binarization

KW - Crack

KW - Greyscale value

KW - Hole expansion ratio (HER)

KW - Imaging processing

KW - Zinc-coating

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Image Processing Algorithm for Real-Time Crack Inspection in Hole Expansion Test

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