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

Research output: Contribution to conference › Paper › peer-review

92 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
Pages	2202-2207
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2002.1185314
Publication status	Published - 2002 Dec 1
Externally published	Yes
Event	Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society - Sevilla, Spain Duration: 2002 Nov 5 → 2002 Nov 8

Other

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

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/IECON.2002.1185314

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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.",

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AU - Aoki, Yoshimitsu

AU - Hashimoto, Shuji

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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.

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

Abstract

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ASJC Scopus subject areas

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