Energy minimization with one dot fuzzy initialization for marine oil spill segmentation

Tools

Ren, Peng and Xu, Min and Yu, Yunhua and Chen, Fang and Jiang, Xiangyuan and Yang, Erfu (2018) Energy minimization with one dot fuzzy initialization for marine oil spill segmentation. IEEE Journal of Oceanic Engineering. ISSN 0364-9059 (https://doi.org/10.1109/JOE.2018.2842538)

[thumbnail of Ren-etal-IEEE-JOE-2018-Energy-minimization-with-one-dot-fuzzy-initialization-for-marine-oil]
Preview
 Text. Filename: Ren_etal_IEEE_JOE_2018_Energy_minimization_with_one_dot_fuzzy_initialization_for_marine_oil.pdf
Accepted Author Manuscript
Download (4MB)| Preview

Abstract

Detecting marine oil spill regions in synthetic aperture radar (SAR) images has always been posed as a segmentation problem in terms of minimizing a certain energy function(al). As most energy minimization problems do not have analytical solutions, minimizing an energy function(al) is usually achieved in an iterative numerical manner. In this scenario, one key factor that affects the segmentation accuracy is the initialization for starting or constraining the numerical iterations. To guarantee accurate segmentation, a proper initialization that characterizes the marine oil spill layouts in a SAR image is required. However, marine oil spill regions are always complicatedly shaped, and it is inefficient to manually devise precise initializations for capturing various marine oil spill shapes. In order to address this problem and render efficient and robust segmentation, we develop a one dot fuzzy initialization strategy. In contrast to the normal practice of manually labeling a large amount of pixels (possibly lines or cycles of pixels subject to strict spatial conditions) as initialization, our strategy just requires one arbitrary pixel within a marine oil spill region as the initial dot. The intuition of our strategy is that the fuzzy connectedness between an arbitrary initial dot and the rest pixels enables the derivation of a physically homogeneous region which is consistent for initializing the energy minimization. In the light of this observation, we develop schemes for exploiting the one dot derived region to initialize both level sets for minimizing continuous energy functionals and graph cuts for minimizing discrete energy functions. Experimental results validate the robustness of our one dot fuzzy initialization strategy.

ORCID iDs

Ren, Peng, Xu, Min, Yu, Yunhua, Chen, Fang, Jiang, Xiangyuan and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950;
  • Item type:Article
    ID code:64677
    Dates:
    Date
    Event
    2 July 2018
    Published
    2 July 2018
    Published Online
    10 May 2018
    Accepted
    Notes:© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Engineering (General). Civil engineering (General) > Engineering design
    Department:Faculty of Engineering > Design, Manufacture and Engineering Management
    Depositing user: Pure Administrator
    Date deposited:04 Jul 2018 11:25
    Last modified:12 Dec 2024 06:53
    URI:https://strathprints.strath.ac.uk/id/eprint/64677
CORE (COnnecting REpositories)