• DocumentCode
    3488247
  • Title

    A new methodology for evaluation of edge detectors

  • Author

    Moreno, Rodrigo ; Puig, Domenec ; Julià, Carme ; Garcia, Miguel Angel

  • Author_Institution
    Dept. of Comput. Sci. & Math., Rovira i Virgili Univ., Tarragona, Spain
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    2157
  • Lastpage
    2160
  • Abstract
    This paper defines a new methodology for evaluating edge detectors through measurements on edginess maps instead of on binary edge maps as previous methodologies do. These measurements avoid possible bias introduced by the application-dependent process of generating binary edge maps from edginess maps. The features of completeness, discriminability, precision and robustness, which a general-purpose edge detector must comply with, are introduced. The R, DS, P and FAR-measurements in addition to PSNR applied to the edginess maps are defined to assess the performance of edge detection. The R, DS, P and FAR-measurements can be seen as generalizations of previously proposed measurements on binary edge maps. Well-known and state-of-the-art edge detectors have been compared by means of the new proposed metrics. Results show that it is difficult for an edge detector to comply with all the proposed features.
  • Keywords
    edge detection; stability; PSNR; completeness; discriminability; edge detection; edge detectors; edginess maps; precision; robustness; Computer science; Computer vision; Detectors; Image edge detection; Informatics; Intelligent robots; Mathematics; Robot vision systems; Robustness; Tin; Edge detection evaluation; completeness; discriminability; precision; robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414086
  • Filename
    5414086