Abstract
This paper reports a figure-ground separation method for vector graphics. Although figure-ground separation is an effective model to mirror human's perceptions to image segmentation, no figure-ground separation method for vector graphics has been studied. In this paper, we propose a novel figure-ground separation method for vector graphics. The method conducts figure-ground separation without rasterizing vector graphics. First the method finds the primitives that express the boundary between the figure and the ground in a vector graphic. Next the method extracts inner regions of the boundary as the figure and the other regions as the ground. We have evaluated the effectiveness of the method by comparing it with a traditional method for raster images using 126 vector graphics. The experimental results have shown that 81:7% of the vector graphics are correctly separated figure and ground by the proposed method and that this performance is 37:2% higher than the traditional method.
Original language | English |
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Title of host publication | Proceedings of the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA 2006 |
Pages | 192-197 |
Number of pages | 6 |
Publication status | Published - 2006 |
Externally published | Yes |
Event | 8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA2006 - Honolulu, HI, United States Duration: 2006 Aug 14 → 2006 Aug 16 |
Other
Other | 8th IASTED International Conference on Signal and Image Processing, SIP 2006 and the 10th IASTED International Conference on Internet and Multimedia Systems and Applications, IMSA2006 |
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Country/Territory | United States |
City | Honolulu, HI |
Period | 06/8/14 → 06/8/16 |
Keywords
- Active contour model
- Contour
- Figure-ground separation
- Image segmentation
- Vector graphics
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Networks and Communications
- Computer Science Applications