IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/3670498.html
   My bibliography  Save this article

Field Coupling-Based Image Filter for Sand Painting Stylization

Author

Listed:
  • Tao Wu
  • Xia Chen
  • Liqiong Lu

Abstract

Sand painting is a very new and popular performance art technique, and it has important meaning for the artistic creation. Computer-aided sand painting is now in the ascendant, whose fully automated mechanism is still an attractive challenge. Image data field, inspired from short-range nuclear force in physics, is introduced into sand painting stylization. With preserving edges and features, a fully automatic image filter pipeline based on image field coupling is proposed, which consists of three main steps, including image data field generating, multiscale field coupling, and additional details optimizing. The visual comparisons indicate that the proposed pipeline and image filter are feasible and effective, and sand painting-like artistic images can be produced by using multiscale field coupling. The qualities of various rendering images are also investigated from the perspective of feature similarity measures. The quantitative and qualitative results suggest that the field coupling-based filter is appropriate for sand painting stylization, and the time cost is satisfied for practice applications. Generally, the proposed method provides a reference for automatic creation of computer-aided sand painting art.

Suggested Citation

  • Tao Wu & Xia Chen & Liqiong Lu, 2018. "Field Coupling-Based Image Filter for Sand Painting Stylization," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-18, March.
  • Handle: RePEc:hin:jnlmpe:3670498
    DOI: 10.1155/2018/3670498
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2018/3670498.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2018/3670498.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2018/3670498?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:3670498. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.