A SOM-based Chan-Vese model for unsupervised image segmentation

Mohammed M. Abdelsamea, Giorgio Gnecco*, Mohamed Medhat Gaber

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    23 Citations (Scopus)
    Original languageEnglish
    Pages (from-to)2047-2067
    Number of pages21
    JournalSoft Computing
    Volume21
    Issue number8
    DOIs
    Publication statusPublished (VoR) - Apr 2017

    Keywords

    • Active contours
    • Chan-Vese model
    • Global region-based segmentation
    • Neural networks
    • Self-organizing map
    • Variational level set method

    Fingerprint

    Dive into the research topics of 'A SOM-based Chan-Vese model for unsupervised image segmentation'. Together they form a unique fingerprint.

    Cite this