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2000
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(Semi-) Automatic Segmentation in Historic Collections of Heraldic Images

8 years 10 months ago
(Semi-) Automatic Segmentation in Historic Collections of Heraldic Images
A modern approach to manage multimedia databases is content-based retrieval. Especially in image databases graphical features like color, texture or shape can be used efficiently instead of expensive manual annotations. Due to the large number of image archives and the enormous costs of annotations it is most important to extract adequate features automatically by means of digital image processing. Using the image processing tool MVTec Halcon we propose a preprocessing for heraldic image segmentation that can automatically derive color information from monochrome images as well as semiautomatically segment heraldic bearings. We claim that exploiting application semantics leads to successful image segmentation in digital libraries.
Jürgen Vogel, Wolf-Tilo Balke, Werner Kie&szl
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Jürgen Vogel, Wolf-Tilo Balke, Werner Kießling
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