• DocumentCode
    513361
  • Title

    Erosion After Gradient (ErAGrad) morphological profile

  • Author

    Bellens, Rik ; Gautama, Sidharta

  • Author_Institution
    Dept. for Telecommun. & Inf. Process., Ghent Univ., Ghent, Belgium
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Morphological profiles [1, 2] have been proven useful for classification and segmentation of remote sensed images. A morphological profile contains information about the size and shape of objects in an image. However, the profile of a pixel not only depends on the geometry of the object it belongs to, but also on whether it is a bright, dark or gray object. Moreover, morphological profiles are not easily extendable to color images. Different attempts have been made, but they either require an artificial ordening of the colors or create profiles for every color band. This makes it more difficult to interpret the morphological profile. In this paper we propose a new kind of morphological profile, the ErAGrad profile. This profile contains a single value for each pixel on each scale. The ErA-Grad profile is easily interpretable and does not depend on the color of the object or the color of the background, but only on the difference between both.
  • Keywords
    geophysical signal processing; image classification; image colour analysis; image segmentation; remote sensing; ErAGrad profile; artificial color ordening; color images; erosion after gradient morphological profile; image background color; image object color; image object shape; image object size; remotely sensed image classification; remotely sensed image segmentation; Color; Electronic mail; Geometry; Image resolution; Image segmentation; Information processing; Remote sensing; Roads; Satellites; Shape measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418079
  • Filename
    5418079