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 |
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Title of host publication | IECON Proceedings (Industrial Electronics Conference) |
Pages | 2202-2207 |
Number of pages | 6 |
Volume | 3 |
DOIs | |
Publication status | Published - 2002 |
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 |
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Country | Spain |
City | Sevilla |
Period | 02/11/5 → 02/11/8 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Accurate extraction and measurement of fine cracks from concrete block surface image. / Ito, Atsushi; Aoki, Yoshimitsu; Hashimoto, Shuji.
IECON Proceedings (Industrial Electronics Conference). Vol. 3 2002. p. 2202-2207.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
UR - http://www.scopus.com/inward/citedby.url?scp=0036948924&partnerID=8YFLogxK
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)
ER -