• DocumentCode
    721209
  • Title

    Thinning algorithm using hypergraph based morphological operators

  • Author

    Prakash, R.P. ; Prakash, Keerthana S. ; Binu, V.P.

  • Author_Institution
    Comput. Sci. & Eng., Coll. of Eng., Karunagappally, India
  • fYear
    2015
  • fDate
    12-13 June 2015
  • Firstpage
    1026
  • Lastpage
    1029
  • Abstract
    The object recognition is a complex problem in the image processing. Mathematical morphology is Shape oriented operations, that simplify image data, preserving their essential shape characteristics and eliminating irrelevancies. This paper briefly describes morphological operators using hypergraph and its applications for thinning algorithms. The morphological operators using hypergraph method is used to preventing errors and irregularities in skeleton, and is an important step recognizing line objects. The morphological operators using hypergraph such as dilation, erosion, opening, closing is a novel approach in image processing and it act as a filter remove the noise and errors in the images.
  • Keywords
    graph theory; image thinning; mathematical morphology; object recognition; shape recognition; dilation; erosion; hypergraph based morphological operators; hypergraph method; image data; image processing; image skeleton; line object recognition; mathematical morphology; shape characteristics; shape oriented operations; thinning algorithm; Image edge detection; Morphological operations; Morphology; Noise; Shape; Skeleton; Mathematical morphology; hypergraph; skeleton; thinning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2015 IEEE International
  • Conference_Location
    Banglore
  • Print_ISBN
    978-1-4799-8046-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2015.7154860
  • Filename
    7154860