• DocumentCode
    2002046
  • Title

    Automatic colon polyp detection in endoscopic capsule images

  • Author

    David, E. ; Boia, Raluca ; Malaescu, Alexandru ; Carnu, Mihai

  • Author_Institution
    Digital Opt. Corp., Bucharest, Romania
  • fYear
    2013
  • fDate
    11-12 July 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a method of automatic detection of colon polyps in endoscopic capsule images. This approach uses color and geometrical analysis of the images and uses histogram of gradients features and multilayer perceptron neural networks for performing the detection at multiple scales. The detection performance is tested using a database of 30540 images, 540 of them containing at least one polyp.
  • Keywords
    biomedical optical imaging; cancer; endoscopes; image colour analysis; medical image processing; automatic colon polyp detection; endoscopic capsule image; gradient feature; histogram; image color analysis; image database; image geometrical analysis; multilayer perceptron neural network; Cancer; Colon; Databases; Feature extraction; Histograms; Image color analysis; Image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems (ISSCS), 2013 International Symposium on
  • Conference_Location
    Iasi
  • Print_ISBN
    978-1-4799-3193-4
  • Type

    conf

  • DOI
    10.1109/ISSCS.2013.6651196
  • Filename
    6651196