• DocumentCode
    1332353
  • Title

    A Relay Level Set Method for Automatic Image Segmentation

  • Author

    Gao, Xinbo ; Wang, Bin ; Tao, Dacheng ; Li, Xuelong

  • Author_Institution
    Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
  • Volume
    41
  • Issue
    2
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    518
  • Lastpage
    525
  • Abstract
    This paper presents a new image segmentation method that applies an edge-based level set method in a relay fashion. The proposed method segments an image in a series of nested subregions that are automatically created by shrinking the stabilized curves in their previous subregions. The final result is obtained by combining all boundaries detected in these subregions. The proposed method has the following three advantages: 1) It can be automatically executed without human-computer interactions; 2) it applies the edge-based level set method with relay fashion to detect all boundaries; and 3) it automatically obtains a full segmentation without specifying the number of relays in advance. The comparison experiments illustrate that the proposed method performs better than the representative level set methods, and it can obtain similar or better results compared with other popular segmentation algorithms.
  • Keywords
    edge detection; image segmentation; partial differential equations; PDE; automatic image segmentation; edge-based level set method; relay fashion; Active contours; Equations; Image segmentation; Level set; Mathematical model; Relays; Shape; Energy minimization; finite difference; geometric active contour; image segmentation; partial differential equation (PDE); relay level set; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2010.2065800
  • Filename
    5582310