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3D Wave Reconstruction Through Image Processing

Lookup NU author(s): Dr Maryam HaroutunianORCiD, Dr David Trodden



This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Wave characteristics are considered as one of the most important data for weather forecasting and offshore platform engineering and design which provide essential design criteria. These data are generally measured by using a variety of methods such as resistance type gauge, capacitance type gauge, wave rider buoy, wave radars and acoustic measurements in laboratory or ocean. In laboratory environment, the intrusive instruments such as resistance type gauge, capacitance wire gauge and pressure type gauge are mainly used to measure the surface waves. Since those are based on direct contact with measuring medium, not only it can affect the measurement results through the formation of meniscus but also only provide the limited spatial information of wave surface. So, optical instruments have been studied as an alternative to provide better spatial information or in order to not affect the measuring wave surface. However, most of optical technologies also measure surface wave information at limited point and require expensive active sources such as lasers for measurement. Advances in CCD and CMOS sensor technology have made affordable cameras available on the market with sufficient image quality and pixel resolution. So, in this study, stereo image processing technologies were investigated to show that better 2D (two dimensional) and 3D (three dimensional) spatial wave information can be measured through the use of generally affordable digital cameras on market. The measurement results through image processing were compared with those of resistant type gauge.

Publication metadata

Author(s): Lee Y, Haroutunian M, Trodden DG

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 5th International Conference on Advanced Model Measurement Technology for The Maritime Industry (AMT’17)

Year of Conference: 2017

Pages: 279-298

Online publication date: 13/10/2017

Acceptance date: 18/08/2017

Date deposited: 27/11/2017