Articles producció científicaEnginyeria Informàtica i Matemàtiques

Active Contours Using Additive Local and Global Intensity Fitting Models for Intensity Inhomogeneous Image Segmentation

  • Identification data

    Identifier:  PC:1947
    Authors:  Farhan Akram; Shafiullah Soomro; Jeong Heon Kim; Toufique Ahmed Soomro; Kwang Nam Choi
    Abstract:
    This paper introduces an improved region based active contour method with a level set formulation. The proposed energy functional integrates both local and global intensity fitting terms in an additive formulation. Local intensity fitting term influences local force to pull the contour and confine it to object boundaries. In turn, the global intensity fitting term drives the movement of contour at a distance from the object boundaries. The global intensity term is based on the global division algorithm, which can better capture intensity information of an image than Chan-Vese (CV) model. Both local and global terms are mutually assimilated to construct an energy function based on a level set formulation to segment images with intensity inhomogeneity. Experimental results show that the proposed method performs better both qualitatively and quantitatively compared to other state-of-the-art-methods.
  • Others:

    Link to the original source: http://dx.doi.org/10.1155/2016/9675249
    Article's DOI: https://doi.org/10.1155/2016/9675249
    Journal publication year: 2016
    Entity: http://nportal0.urv.cat:18080/fourrepo/rest/digitalobjects/DS?objectId=PC%3A1947&datastreamId=DocumentPrincipal&mime=application%2Fpdf
    Paper version: info:eu-repo/semantics/publishedVersion
    First page: Art. núm. 9675249
    URV's Author/s: AKRAM, FARHAN; Shafiullah Soomro; Jeong Heon Kim; Toufique Ahmed Soomro; Kwang Nam Choi
    Department: Enginyeria Informàtica i Matemàtiques
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Article
    ISSN: 1748-670X
    Author, as appears in the article.: Farhan Akram; Shafiullah Soomro; Jeong Heon Kim; Toufique Ahmed Soomro; Kwang Nam Choi
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Journal volume: 2016
    Research group: Robòtica i Visió Intel.ligents
    Thematic Areas: Computer engineering
  • Keywords:

    experimental model
    image segmentation
    quantitative study
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