Level sets with one dot fuzzy initialization for marine oil spill segmentation

Min Xu, Yunhua Yu, Fang Chen, Xiangyuan Jiang, Peng Ren, Erfu Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)
35 Downloads (Pure)

Abstract

Image segmentation techniques are widely used for identifying marine oil spill regions in SAR images, with one representative technique being level set evolution. The accuracy of level set evolution highly relies on a proper initial level set function which roughly captures the marine oil spill layouts in a SAR image. However, marine oil spill regions are always complicatedly shaped, and it is time-consuming and impractical to manually devise precise initial level set functions for various marine oil spill shapes. In order to address this problem and achieve efficient and robust segmentation, we develop a one dot initialization scheme for level set evolution. Our method just requires an arbitrary pixel within one marine oil spill region as initialization. It exploits fuzzy connectedness between pixels such that consistent initial level set functions can be established via arbitrary initial dots within the marine oil spill region. Experimental results validates the robustness of our strategy.

Original languageEnglish
Title of host publicationOCEANS 2017 - Aberdeen
Place of PublicationPiscataway, N.J.
PublisherIEEE
Number of pages4
ISBN (Print)9781509052790
DOIs
Publication statusPublished - 26 Oct 2017
EventOCEANS 2017 - Aberdeen - Aberdeen, United Kingdom
Duration: 19 Jun 201722 Jun 2017

Conference

ConferenceOCEANS 2017 - Aberdeen
CountryUnited Kingdom
CityAberdeen
Period19/06/1722/06/17

Keywords

  • level set
  • oils
  • image segmentation
  • shape
  • robustness
  • synthetic aperture radar

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