Evaluation of edge detectors using average risk

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    11 Citations (Scopus)
    179 Downloads (Pure)


    A new method for evaluation of edge detectors, based on the average risk of a decision, is discussed. The average risk is a performance measure well-known in Bayesian decision theory. Since edge detection can be regarded as a compound decision making process, the performance of an edge detector is context dependent. Therefore, the application of average risk to edge detection is non-trivial. The paper describes a method to estimate the probabilities on a number of different types of (context dependent) errors. A weighted sum of these estimated probabilities represents the average risk. The weight coefficients define the cost function. The method is suitable, not only for the comparison of edge operators, but also for the determination of the weaknesses and strengths of a certain edge operator. This is demonstrated with some well-known edge operators
    Original languageEnglish
    Title of host publicationProceedings 11th IAPR International Conference on Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis
    Place of PublicationPiscataway, NJ
    Number of pages4
    ISBN (Print)0-8186-2920-7
    Publication statusPublished - 30 Aug 1992
    Event11th IAPR International Conference on Pattern Recognition, ICPR 1992 - The Hague, Netherlands
    Duration: 30 Aug 19923 Sept 1992
    Conference number: 11


    Conference11th IAPR International Conference on Pattern Recognition, ICPR 1992
    Abbreviated titleICPR
    CityThe Hague


    Dive into the research topics of 'Evaluation of edge detectors using average risk'. Together they form a unique fingerprint.

    Cite this