Accurate extraction and measurement of fine cracks from concrete block surface image

Atsushi Ito; Yoshimitsu Aoki; Shuji Hashimoto

doi:10.1109/IECON.2002.1185314

Accurate extraction and measurement of fine cracks from concrete block surface image

Atsushi Ito^*, Yoshimitsu Aoki, Shuji Hashimoto

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

103 Citations (Scopus)

Abstract

Measurement and analysis of cracks on the surface of reinforced concrete can be an effective key for diagnosing quake-proofness of a construction or measuring material fatigue. The conventional method of diagnosis is to analyze cracks using a sketch manually produced by inspection engineers, however it takes a fairly long time and lacks quantitative objectivity. This paper proposes an automatic detection and analysis system for concrete block inspection. By employing a high-resolution camera, the cracks and displacement features are automatically extracted using an integrated image processing techniques. Utilizing the proposed method, the crack scale can be measured with sub-pixel order accuracy. Automatic feature extraction and quantitative analysis of cracks are implemented to make the system efficient tool for assisting specialists in inspection procedures.

Original language	English
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Pages	2202-2207
Number of pages	6
Volume	3
DOIs	https://doi.org/10.1109/IECON.2002.1185314
Publication status	Published - 2002
Event	Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society - Sevilla Duration: 2002 Nov 5 → 2002 Nov 8

Other

Other	Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society
City	Sevilla
Period	02/11/5 → 02/11/8

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/IECON.2002.1185314

Cite this

@inproceedings{5f85782a541f4fbe938f9af8b4bc162e,

title = "Accurate extraction and measurement of fine cracks from concrete block surface image",

abstract = "Measurement and analysis of cracks on the surface of reinforced concrete can be an effective key for diagnosing quake-proofness of a construction or measuring material fatigue. The conventional method of diagnosis is to analyze cracks using a sketch manually produced by inspection engineers, however it takes a fairly long time and lacks quantitative objectivity. This paper proposes an automatic detection and analysis system for concrete block inspection. By employing a high-resolution camera, the cracks and displacement features are automatically extracted using an integrated image processing techniques. Utilizing the proposed method, the crack scale can be measured with sub-pixel order accuracy. Automatic feature extraction and quantitative analysis of cracks are implemented to make the system efficient tool for assisting specialists in inspection procedures.",

author = "Atsushi Ito and Yoshimitsu Aoki and Shuji Hashimoto",

year = "2002",

doi = "10.1109/IECON.2002.1185314",

language = "English",

volume = "3",

pages = "2202--2207",

booktitle = "IECON Proceedings (Industrial Electronics Conference)",

note = "Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society ; Conference date: 05-11-2002 Through 08-11-2002",

}

TY - GEN

T1 - Accurate extraction and measurement of fine cracks from concrete block surface image

AU - Ito, Atsushi

AU - Aoki, Yoshimitsu

AU - Hashimoto, Shuji

PY - 2002

Y1 - 2002

N2 - Measurement and analysis of cracks on the surface of reinforced concrete can be an effective key for diagnosing quake-proofness of a construction or measuring material fatigue. The conventional method of diagnosis is to analyze cracks using a sketch manually produced by inspection engineers, however it takes a fairly long time and lacks quantitative objectivity. This paper proposes an automatic detection and analysis system for concrete block inspection. By employing a high-resolution camera, the cracks and displacement features are automatically extracted using an integrated image processing techniques. Utilizing the proposed method, the crack scale can be measured with sub-pixel order accuracy. Automatic feature extraction and quantitative analysis of cracks are implemented to make the system efficient tool for assisting specialists in inspection procedures.

AB - Measurement and analysis of cracks on the surface of reinforced concrete can be an effective key for diagnosing quake-proofness of a construction or measuring material fatigue. The conventional method of diagnosis is to analyze cracks using a sketch manually produced by inspection engineers, however it takes a fairly long time and lacks quantitative objectivity. This paper proposes an automatic detection and analysis system for concrete block inspection. By employing a high-resolution camera, the cracks and displacement features are automatically extracted using an integrated image processing techniques. Utilizing the proposed method, the crack scale can be measured with sub-pixel order accuracy. Automatic feature extraction and quantitative analysis of cracks are implemented to make the system efficient tool for assisting specialists in inspection procedures.

UR - http://www.scopus.com/inward/record.url?scp=0036948924&partnerID=8YFLogxK

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U2 - 10.1109/IECON.2002.1185314

DO - 10.1109/IECON.2002.1185314

M3 - Conference contribution

AN - SCOPUS:0036948924

VL - 3

SP - 2202

EP - 2207

BT - IECON Proceedings (Industrial Electronics Conference)

T2 - Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society

Y2 - 5 November 2002 through 8 November 2002

ER -

Accurate extraction and measurement of fine cracks from concrete block surface image

Abstract

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