• DocumentCode
    3223972
  • Title

    A new deformable contour method

  • Author

    Wang, Xun ; Wee, William G.

  • Author_Institution
    Dept. of Electr. & Comput. Eng. & Comput. Sci., Cincinnati Univ., OH, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    430
  • Lastpage
    435
  • Abstract
    In this paper, a new deformable contour method is presented and tested. The method incorporates several advantages and avoids the disadvantages of both the level set and the non-deterministic deformable contour methods. It takes the level set approach as a core procedure with an enhanced velocity control using a region growing-like function, and the introduction of the non-deterministic approach to generate a set of candidate contours for evaluation by an energy function. The resulting procedure can handle blurred and/or opened contours, and noisy contours in images with a complex structure. The procedure is automatic and rather insensitive to the initial location, and has only one parameter σ to adjust. Local energy minima contours can easily be tuned to attend. Experimental results on human abdominal CT images, brain MRI images, and ultrasound pig heart images are favorably reported
  • Keywords
    biomedical MRI; brain; cardiology; computerised tomography; edge detection; image segmentation; medical image processing; minimisation; ultrasonic imaging; abdominal CT images; blurred contours; brain MRI images; candidate contours; deformable contour method; energy function; enhanced velocity control; level set approach; local energy minima; noisy contours; non-deterministic approach; opened contours; region growing; ultrasound pig heart images; Computed tomography; Computer science; Deformable models; Heart; Image processing; Image segmentation; Level set; Magnetic resonance imaging; Stochastic processes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Processing, 1999. Proceedings. International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    0-7695-0040-4
  • Type

    conf

  • DOI
    10.1109/ICIAP.1999.797633
  • Filename
    797633