• DocumentCode
    905746
  • Title

    Multiresolution analysis of ridges and valleys in grey-scale images

  • Author

    Gauch, John M. ; Pizer, Stephen M.

  • Author_Institution
    Coll. of Comput. Sci., Northeastern Univ., Boston, MA, USA
  • Volume
    15
  • Issue
    6
  • fYear
    1993
  • fDate
    6/1/1993 12:00:00 AM
  • Firstpage
    635
  • Lastpage
    646
  • Abstract
    Two methods for identifying and analyzing the multiresolution behavior of ridges and valleys in grey-scale images are described. The first method uses the tools of differential geometry to focus on local image behavior. The resulting vertex curves mark the tops of ridges and bottoms of valleys in an image. The second method focuses on the global drainage patterns of rainfall on a terrain map. The resulting watershed boundaries also identify the tops of ridges and bottoms of valleys in an image. By following these two geometric representations through scale space, the authors build resolution hierarchies on ridges and valleys in the image that can be utilized for interactive image segmentation
  • Keywords
    differential geometry; geophysical techniques; geophysics computing; image segmentation; rain; remote sensing; topography (Earth); differential geometry; geophysical techniques; global drainage patterns; grey-scale images; interactive image segmentation; multiresolution behavior; rainfall; remote sensing; ridges; terrain map; valleys; vertex curves; watershed boundaries; Computer science; Computer vision; Geometry; Image analysis; Image resolution; Image segmentation; Multiresolution analysis; Shape measurement; Signal resolution; Solid modeling;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.216734
  • Filename
    216734