Image based damage assessment for underwater inspections /

Image based damage assessment for underwater inspections / Michael O'Byrne, Bidisha Ghosh, Franck Schoefs and Vikram Pakrashi.

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Inspection is crucial to the management of ageing infrastructure. Visual information on structures is regularly collected but very little work exists on its organised and quantitative analysis, even though image processing can significantly enhance these inspection processes and transfer real financ...

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Bibliographic Details
Online Access: Full Text (via Taylor & Francis)
Main Authors: O'Byrne, Michael (Structural engineer) (Author), Ghosh, Bidisha (Author), Schoefs, Franck (Author), Pakrashi, Vikram (Author)
Format: eBook
Language:English
Published: Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2018]
Subjects:
Offshore structures > Inspection.
Underwater imaging systems.

MARC

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100 1 |a O'Byrne, Michael  |c (Structural engineer),  |e author.  |0 http://id.loc.gov/authorities/names/n2018031338. 
245 1 0 |a Image based damage assessment for underwater inspections /  |c Michael O'Byrne, Bidisha Ghosh, Franck Schoefs and Vikram Pakrashi. 
264 1 |a Boca Raton :  |b Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc,  |c [2018] 
300 |a 1 online resource. 
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504 |a Includes bibliographical references and index. 
505 0 |a Inspection methods and image analysis -- Fundamentals of image acquisition and imaging protocol -- Fundamentals of image analysis and interpretation -- Crack detection -- Surface damage protection -- 3D imaging -- Repository and interpretation -- Future applications. 
520 3 |a Inspection is crucial to the management of ageing infrastructure. Visual information on structures is regularly collected but very little work exists on its organised and quantitative analysis, even though image processing can significantly enhance these inspection processes and transfer real financial and safety benefits to the managers, owners and users. Additionally, new opportunities exist in the fast evolving sectors of wind and wave energy to add value to image-based inspection techniques.This book is a first for structural engineers and inspectors who wish to harness the full potential of cameras as an inspection tool. It is particularly directed to the inspection of offshore and marine structures and the application of image-based methods in underwater inspections. It outlines a set of best practice guidelines for obtaining imagery, then the fundamentals of image processing are covered along with several image processing techniques which can be used to assessmultiple damage forms: crack detection, corrosion detection, and depth analysis of marine growth on offshore structures. The book provides benchmark performance measures for these techniques under various visibility conditions using an image repository which will help inspectors to envisage the effectiveness of the techniques when applied. MATLAB® scripts and access to the underwater image repository are included so readers can run these techniques themselves.Practising engineers and managers of infrastructure assets are guided in image processing based inspection. Researchers can use this book as a primer, and it also suits advanced graduate courses in infrastructure management or on applied image processing. 
588 |a Description based on print version record and CIP data provided by publisher. 
650 0 |a Offshore structures  |x Inspection. 
650 0 |a Underwater imaging systems.  |0 http://id.loc.gov/authorities/subjects/sh93002735. 
650 7 |a Offshore structures  |x Inspection.  |2 fast  |0 (OCoLC)fst01044412. 
650 7 |a Underwater imaging systems.  |2 fast  |0 (OCoLC)fst01161109. 
700 1 |a Ghosh, Bidisha,  |e author.  |0 http://id.loc.gov/authorities/names/n2018012242. 
700 1 |a Schoefs, Franck,  |e author.  |0 http://id.loc.gov/authorities/names/n2011038781  |1 http://isni.org/isni/0000000120368177. 
700 1 |a Pakrashi, Vikram,  |e author.  |0 http://id.loc.gov/authorities/names/n2018012248  |1 http://isni.org/isni/0000000499505534. 
776 0 8 |i Print version:  |a O'Byrne, Michael, author.  |t Image based damage assessment for underwater inspections  |d Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, [2018]  |z 9781138031869  |w (DLC) 2018005237. 
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