Abstract
A method based on sublevel sets is presented for refining segmentation of screening mammograms. Initial segmentation is provided by an adaptive pyramid (AP) scheme which is viewed as seeding of the final segmentation by sublevel sets. Performance is tested with and without prior anisotropic smoothing and is compared to refinement based on component merging. The combination of anisotropic smoothing, AP segmentation and sublevel refinement is found to outperform other combinations.
Original language | English |
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Title of host publication | Proceedings |
Subtitle of host publication | 2009 Digital Image Computing: Techniques and Applications DICTA 2009 |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Print) | 978-0-7695-3866-2 |
DOIs | |
Publication status | Published - 2009 |
Event | Digital Image Computing Techniques and Applications - Duration: 1 Dec 2009 → 3 Dec 2009 |
Conference
Conference | Digital Image Computing Techniques and Applications |
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Period | 1/12/09 → 3/12/09 |