• DocumentCode
    271439
  • Title

    Alternative formulations to compute the binary shape Euler number

  • Author

    Sossa Azuela, Juan Humberto ; Rubio Espino, Elsa ; Santiago, Regivan ; López, Alejandro ; Peña Ayala, Alejandro ; Jimenez, Erik V. Cuevas

  • Author_Institution
    Dept. of Comput. Sci., Inst. Politec. Nac.-Centro de Investig. en Comput., Mexico City, Mexico
  • Volume
    8
  • Issue
    3
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    171
  • Lastpage
    181
  • Abstract
    The authors propose two equations based on the pixel geometry and connectivity properties, which can be used to compute, efficiently, the Euler number of a binary digital image with either thick or thin boundaries. Although computing this feature, the authors´ technique extracts the underlying topological information provided by the shape pixels of the given image. The correctness of computing the Euler number using the new equations is also established theoretically. The performance of the proposed method is compared against other available alternatives. Experimental results on a large image database demonstrate that the authors technique for computing the Euler number outperforms the earlier approaches significantly in terms of the number of basic arithmetic operations needed per pixel. Both equations are specialised only for 4-connectivity cases.
  • Keywords
    feature extraction; shape recognition; arithmetic operation; binary digital image; binary shape Euler number; connectivity properties; feature extraction; image database; pixel geometry; shape pixels; topological information;
  • fLanguage
    English
  • Journal_Title
    Computer Vision, IET
  • Publisher
    iet
  • ISSN
    1751-9632
  • Type

    jour

  • DOI
    10.1049/iet-cvi.2013.0076
  • Filename
    6826028