An efficient method for obtaining morphological skeletons

En Hui Liang, Edward K. Wong

    Research output: Contribution to journalArticlepeer-review


    A new method using gray-scale morphological erosion is proposed to obtain the morphological skeleton of a discrete binary image. The full morphological skeleton is the union of a finite number of skeleton subsets. We also show that gray-scale erosion in this method can be replaced by a simpler operation to further improve computation time. Two efficient algorithms based on the proposed approach are presented.

    Original languageEnglish (US)
    Pages (from-to)689-695
    Number of pages7
    JournalPattern Recognition Letters
    Issue number8
    StatePublished - Aug 1993


    • Euclidean
    • Morphology
    • chessboard
    • city-block
    • dilation
    • erosion
    • skeleton

    ASJC Scopus subject areas

    • Software
    • Signal Processing
    • Computer Vision and Pattern Recognition
    • Artificial Intelligence


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