(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.

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: Jürgen Vogel, Wolf-Tilo Balke, Werner Kießling
• Keywords: ICPR 2000, Image, Image Processing, Image Segmentation