• DocumentCode
    3433621
  • Title

    Image inpainting using vanishing point analysis and scene segmentation

  • Author

    Hassan, Eman T. ; Abbas, Hazem M. ; Mohamed, Hoda K.

  • Author_Institution
    Dept. of Comput. & Syst. Eng., Ain Shams Univ., Cairo, Egypt
  • fYear
    2013
  • fDate
    27-29 Aug. 2013
  • Firstpage
    189
  • Lastpage
    194
  • Abstract
    A new image inpainting technique is developed to fit perfectly for special categories of images that contain mainly buildings. This technique handles the need to obtain an image of building free from parking cars along sides of the roads. To do that, one needs to carefully inpaint the roads and the missing parts of images. This can be done by combining vanishing points detections and image segmentation. After detecting vanishing points, it is possible to draw the line dividing the missing regions into two parts: the road part and the building part. Each part should be then inpainted independently using a different source region for each one. A segmentation technique, which is based on color and texture features, is employed to extract a source region for road part inpainting. Simple geometric calculations are employed to detect the source region for building part inpainting.
  • Keywords
    feature extraction; geometry; image colour analysis; image segmentation; image texture; building part; building part inpainting; color features; geometric calculations; image inpainting technique; road part; road part inpainting; scene segmentation; source region extraction; texture features; vanishing points detections; Buildings; Classification algorithms; Equations; Image color analysis; Image segmentation; Mathematical model; Roads;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing (PACRIM), 2013 IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • ISSN
    1555-5798
  • Type

    conf

  • DOI
    10.1109/PACRIM.2013.6625472
  • Filename
    6625472