• DocumentCode
    2313290
  • Title

    Classification of segmentable images using the PDD function

  • Author

    Uchill, Joseph ; Assadi, Amir

  • Author_Institution
    Dept. of Math., Wisconsin Univ., Madison, WI, USA
  • Volume
    3
  • fYear
    2003
  • fDate
    14-17 Sept. 2003
  • Abstract
    Due to the need to search large databases of images, image classifiers have been developed to sort images not only by subject matter, but also into several more general classes such as photographs, text, and images. These sorting methods suggest that there are inherent and identifiable characteristics unique to photographs or text. A more fundamental problem to solve is whether there are features which combine these separate classes into the greater class of segmentable images:images which have been generated as a means of communicating visual data. A new type of classifier is proposed; one which separates segmentable images from the greater set of possible pixel combinations.
  • Keywords
    image classification; image segmentation; visual communication; visual databases; image database; pixel density decomposition; segmentable images classification; sorting methods; visual data communication; Cameras; Computer graphics; Computer vision; Cryptography; Dictionaries; Humans; Image databases; Image segmentation; Pixel; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7750-8
  • Type

    conf

  • DOI
    10.1109/ICIP.2003.1247297
  • Filename
    1247297