Comparison of Region Proposal Methods for Marine Holograms

Zonghua Liu* (Corresponding Author), Tomoko Takahashi, Thangavel Thevar, Dhugal Lindsay, Nicholas Burns, John Watson, Blair Thornton* (Corresponding Author)

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution


A novel technique to analyse deep-sea particles using digital holography (DH) and Raman spectroscopy (RS) is currently being developed. Since RS requires long measurement periods to provide reliable results in water, a flow control system is necessary to trap particles in the instrument. One way in which this can be achieved is to control the flow based on particles detected in DH images that can be rapidly acquired. In this paper, we explore the possibility of using a region proposal technique to detect possible object regions in holographic images. A model using a support vector machine (SVM) and the histogram of oriented gradients (HoG) has been developed. After being trained on a dataset consisting of 1589 particle and 947 non-particle regions, the model was tested on an image set of 10 independent images with 175 positive regions. It took around 0.5 second to analyse a 1000 * 760 image on average, and the proposed regions had a maximum overlap of 59.3% on average compared to the ground truth. The speed and accuracy of this method was also compared against 7 other possible methods. Amongst the tested methods, SVM was shown to provide the best solution for real-time region proposal on digital holograms. The results in this paper show that the SVM model using HoG features is a good solution to implement region proposal on digital holograms.

Original languageEnglish
Title of host publication2020 Global Oceans 2020
Subtitle of host publicationSingapore - U.S. Gulf Coast
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728154466
Publication statusPublished - 5 Oct 2020
Event2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020 - Biloxi, United States
Duration: 5 Oct 202030 Oct 2020

Publication series

Name2020 Global Oceans 2020: Singapore - U.S. Gulf Coast


Conference2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020
Country/TerritoryUnited States

Bibliographical note

This work is funded by a joint UK-Japan research program (NERC-JST SICORP Marine Sensor Proof of Concept under project code NE/R01227X/l). We also thank the developers of the open-source libraries used in this work.


  • digital holography
  • marine holograms
  • region proposal
  • support vector machine


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