Detecting danger labels with RAM-based neural networks

T.M. Jørgensen, S.S. Christensen, A.W. Andersen

    Research output: Contribution to journalJournal articleResearch

    Abstract

    An image processing system for the automatic location of danger labels on the back of containers is presented. The system uses RAM-based neural networks to locate and classify labels after a pre-processing step involving specially designed non-linear edge filters and RGB-to-HSV conversion. Results on images recorded at the container terminal in Esbjerg, Denmark, are presented.
    Original languageEnglish
    JournalPattern Recognition Letters
    Volume17
    Issue number4
    Pages (from-to)399-412
    ISSN0167-8655
    DOIs
    Publication statusPublished - 1996

    Fingerprint

    Dive into the research topics of 'Detecting danger labels with RAM-based neural networks'. Together they form a unique fingerprint.

    Cite this