Automatic extraction of brushstroke orientation from paintings POET: prevailing orientation extraction technique

Igor E. Berezhnoy*, Eric O. Postma, H. Jaap van den Herik

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    23 Citations (Web of Science)


    Spatial characteristics play a major role in the human analysis of paintings. One of the main spatial characteristics is the pattern of brushstrokes. The orientation, shape, and distribution of brushstrokes are important clues for analysis. This paper focuses on the automatic extraction of the orientation of brushstrokes from digital reproductions of paintings. We present a novel technique called the (prevailing orientation extraction technique (POET)). The technique is based on a straightforward circular filter and a dedicated orientation extraction phase; it performs at a level that is undistinguishable from that of humans. From our experimental results we may conclude that POET supports the automatic extraction of the spatial distribution of oriented brushstrokes. Such an automatic extraction will aid art experts in their analysis of paintings.

    Original languageEnglish
    Pages (from-to)1-9
    Number of pages9
    JournalMachine Vision and Applications
    Issue number1
    Publication statusPublished - Jan 2009


    • revailing orientation extraction technique
    • Texture
    • Orientation extraction

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