Abstract
In this paper, we propose an approach for multi-region segmentation based on a topological graph prior within a multi-level set (MLS) formulation. We consider topological graph prior information to evolve the contour based on a topological relationship presented via a graph relation. This novel method is capable of segmenting adjacent objects with very close gray level that would be difficult to segment correctly using standard methods. We describe our algorithm and show the graph prior technique to explain how it gives precise multi-region segmentation. We validate our algorithm with numerous abdominal and brain image databases and compare it to other multi-region segmentation methods to demonstrate its accuracy and computational efficiency.
Original language | English |
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Title of host publication | Image and Video Technology – PSIVT 2013 Workshops |
Subtitle of host publication | GCCV 2013, GPID 2013, PAESNPR 2013, and QACIVA 2013, Guanajuato, Mexico, October 28-29, 2013, Revised Selected Papers |
Editors | Fay Huang, Akihiro Sugimoto |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer |
Pages | 157-168 |
Number of pages | 12 |
ISBN (Electronic) | 978-3-642-53926-8 |
ISBN (Print) | 978-3-642-53925-1 |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Externally published | Yes |
Event | 6th Pacific-Rim Symposium on Image and Video Technology 2013 - Guanajuato, Mexico Duration: 28 Oct 2013 → 1 Nov 2013 Conference number: 6 http://www.psivt.org/psivt2013/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 8334 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 6th Pacific-Rim Symposium on Image and Video Technology 2013 |
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Abbreviated title | PSIVT 2013 |
Country/Territory | Mexico |
City | Guanajuato |
Period | 28/10/13 → 1/11/13 |
Internet address |
Keywords
- Level set
- Medical image
- Multi-region
- Segmentation
- Topological graph