• DocumentCode
    854913
  • Title

    Performance assessment of feature detection algorithms: a methodology and case study on corner detectors

  • Author

    Rockett, Peter I.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Sheffield, UK
  • Volume
    12
  • Issue
    12
  • fYear
    2003
  • Firstpage
    1668
  • Lastpage
    1676
  • Abstract
    We describe a generic methodology for evaluating the labeling performance of feature detectors. We describe a method for generating a test set and apply the methodology to the performance assessment of the three well-known corner detectors of L. Kitchen and A. Rosenfeld (1982), of K. Paler et al. (1984), and of C. Harris and M. Stephens (1988). The labeling deficiencies of each of these detectors is related to their discrimination ability between corners and various of the features which comprise the class of noncorners.
  • Keywords
    feature extraction; image processing; software performance evaluation; corner detectors; discrimination ability; feature detection algorithms; labeling performance; Appraisal; Computer aided software engineering; Computer vision; Detection algorithms; Detectors; Helium; Image edge detection; Labeling; Robustness; Testing;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2003.818041
  • Filename
    1257402