Abstract
In this paper we report on results of a systematic performance evaluation of three efficient image segmentation algorithms, namely Graph-Cuts, Random Walker and Grow-cut. The evaluation focuses on their function as the computational part of an interactive segmentation system. The implications caused by the human involvement in the overall process are avoided by simulating two different patterns of user interaction. The methods are evaluated with respect to accuracy, precision, efficiency and parameter sensitivity on three-dimensional medical images. The results provide useful insight regarding the algorithmic performance of the selected techniques and the esffect of the identified patterns of interaction on the segmentation outcome.
Original language | English |
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Title of host publication | IEEE International Symposium on Biomedical Imaging: From Nano to Macro |
Editors | Wiro Niessen, Erik Meijering Meijering |
Publisher | IEEE |
Pages | 928-931 |
Number of pages | 4 |
ISBN (Print) | 978-1-4244-4126-6 |
Publication status | Published - 14 Apr 2010 |
Event | IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Rotterdam, The Netherlands Duration: 14 Apr 2010 → 14 Apr 2010 |
Conference
Conference | IEEE International Symposium on Biomedical Imaging: From Nano to Macro |
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City | Rotterdam, The Netherlands |
Period | 14/04/10 → 14/04/10 |
Keywords
- Performance evaluation
- Interactive image segmentation
- Simulated user interaction
- 3-D medical images
- Graph-Cuts
- Random-Walker
- Grow-Cut