• DocumentCode
    2686167
  • Title

    Binary morphological coding of grayscale images

  • Author

    Rajala, A. ; Peterson, H.A. ; Delp, E.J.

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    1988
  • fDate
    7-9 June 1988
  • Firstpage
    2807
  • Abstract
    One approach to image coding is to segment the original gray-scale image and then encode the boundaries and the interiors of the segments to represent the image. The authors propose a novel image coding method based on this approach, with an important difference. With the proposed coding technique, an alternative representation of the image segments is used; instead of segment boundaries, morphological skeletons are used to represent the segments. The skeleton is a thin-lined caricature of the segment that summarizes its shape and conveys information about its size, orientation, and connectivity. A binary image morphological skeletonization procedure is used to create skeletons of the image segments. In this way, the gray-scale image is represented for coding purposes by the skeletons and the intensities of the segments. Preliminary estimates show a data rate of 0.12 bits per pixel can be obtained with this coding technique.<>
  • Keywords
    encoding; picture processing; binary image morphological skeletonization procedure; boundaries; data rate; grayscale images; image coding; intensities; interiors; morphological skeletons; thin-lined caricature; Computer vision; Gray-scale; ISDN; Image coding; Image processing; Image segmentation; Laboratories; Morphology; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1988., IEEE International Symposium on
  • Conference_Location
    Espoo, Finland
  • Type

    conf

  • DOI
    10.1109/ISCAS.1988.15522
  • Filename
    15522