eprintid: 9687
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/96/87
datestamp: 2023-11-09 16:36:20
lastmod: 2023-11-09 16:36:20
status_changed: 2023-11-09 16:29:34
type: conference_item
metadata_visibility: show
creators_name: Osman, A.B.
creators_name: Ovinis, M.
creators_name: Ismael, M.A.
creators_name: Fakhruldin, M.H.
creators_name: Faye, I.
title: Color-based oil spill image segmentation
ispublished: pub
note: cited By 0; Conference of 6th International Conference on Production, Energy and Reliability, ICPER 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:141991
abstract: Oil spill image segmentation is an important task for quantifying the total amount of spilled oil. However, segmentation of oil region from images is a challenging problem. This is due to un-defined edge between oil and sea water. This paper proposes a novel approach based on oil color. The proposed color-based method segments the oil spill region based on clustering the colors of oil and water within the image into various groups, from which the oiled region can be segmented and defined. A k-mean cluster was applied to differentiate between the various colors. As a result, the color-based method able to determine the oiled region. A comparison to classical Otsu thresholding method showed that the color-based method had a better oil segmentation. © 2018 Author(s).
date: 2018
publisher: American Institute of Physics Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057345191&doi=10.1063%2f1.5075603&partnerID=40&md5=f01a91553b34b759009f69a801844474
id_number: 10.1063/1.5075603
full_text_status: none
publication: AIP Conference Proceedings
volume: 2035
refereed: TRUE
isbn: 9780735417618
issn: 0094243X
citation:   Osman, A.B. and Ovinis, M. and Ismael, M.A. and Fakhruldin, M.H. and Faye, I.  (2018) Color-based oil spill image segmentation.  In: UNSPECIFIED.