Referenced Items are not available for this document.
Image segmentation is a fundamental yet challenging step during image analysis. In this paper we propose a novel method for choosing the number of labels during automatic image segmentation. It minimizes an objective function based on the number of labels, the segmentation errors, and consistency of labels between neighboring pixels. An experimental study on representative data shows encouraging results.
Published in:
Emerging Technologies & Factory Automation (ETFA), 2011 IEEE 16th Conference on
Date of Conference: 5-9 Sept. 2011
- Page(s):
- 1 - 6
- ISSN :
- 1946-0740
- E-ISBN :
- 978-1-4577-0016-3
- Print ISBN:
- 978-1-4577-0017-0
- INSPEC Accession Number:
- 12330089
- Conference Location :
- Toulouse
- Digital Object Identifier :
- 10.1109/ETFA.2011.6059090
- Product Type:
- Conference Publications
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