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.
|Title of host publication||2020 Global Oceans 2020|
|Subtitle of host publication||Singapore - U.S. Gulf Coast|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||5|
|Publication status||Published - 5 Oct 2020|
|Event||2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020 - Biloxi, United States|
Duration: 5 Oct 2020 → 30 Oct 2020
|Name||2020 Global Oceans 2020: Singapore - U.S. Gulf Coast|
|Conference||2020 Global Oceans: Singapore - U.S. Gulf Coast, OCEANS 2020|
|Period||5/10/20 → 30/10/20|
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