• DocumentCode
    3225820
  • Title

    Segmentation of uterine fibroid using morphology: An automatic approach

  • Author

    Jeyalakshmi, T. Ratha ; Ramar, K.

  • Author_Institution
    Mother Teresa Univ., Kodaikanal, India
  • fYear
    2009
  • fDate
    22-24 July 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Image segmentation is an important task in medical image analysis. Automatic segmentation of ultrasound image is a difficult task as it suffers from speckle noise. This paper presents a fully automatic approach in which there is no need for the user to provide a seed point to segment the image. It proposes a new method for segmenting the fibroid in uterus. The method used in this paper uses concepts in mathematical morphology. It completely avoids over segmentation which is a major problem in morphological segmentation. The performance of this method is also commendable.
  • Keywords
    cancer; image segmentation; mathematical morphology; medical image processing; tumours; automatic approach; image segmentation; mathematical morphology; medical image analysis; ultrasound image; uterine fibroid; Biomedical imaging; Breast neoplasms; Filters; Head; Image analysis; Image segmentation; Lesions; Morphology; Speckle; Ultrasonic imaging; area open; morphology; regional minima; segmentation; ultrasound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4244-4710-7
  • Type

    conf

  • DOI
    10.1109/IAMA.2009.5228023
  • Filename
    5228023