Edge and line feature extraction based on covariance models

Ferdinand van der Heijden

    Research output: Contribution to journalArticleAcademicpeer-review

    62 Citations (Scopus)
    92 Downloads (Pure)


    Image segmentation based on contour extraction usually involves three stages of image operations: feature extraction, edge detection and edge linking. This paper is devoted to the first stage: a method to design feature extractors used to detect edges from noisy and/or blurred images.
    Original languageEnglish
    Pages (from-to)16-33
    Number of pages18
    JournalIEEE transactions on pattern analysis and machine intelligence
    Issue number1
    Publication statusPublished - 1995


    • Image processing
    • Image segmentation
    • MRF
    • Line detection
    • Edge detection
    • Feature extraction


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