Automated tongue segmentation in hyperspectral images for medicine
Applied Optics, Vol. 46, Issue 34, pp. 8328-8334 (2007)
http://dx.doi.org/10.1364/AO.46.008328
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Abstract
Automatic tongue area segmentation is crucial for computer aided tongue diagnosis, but traditional intensity-based segmentation methods that make use of monochromatic images cannot provide accurate and robust results. We propose a novel tongue segmentation method that uses hyperspectral images and the support vector machine. This method combines spatial and spectral information to analyze the medical tongue image and can provide much better tongue segmentation results. The promising experimental results and quantitative evaluations demonstrate that our method can provide much better performance than the traditional method.
© 2007 Optical Society of America
OCIS Codes
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
(170.6510) Medical optics and biotechnology : Spectroscopy, tissue diagnostics
ToC Category:
Imaging Systems
History
Original Manuscript: February 12, 2007
Revised Manuscript: September 28, 2007
Manuscript Accepted: October 11, 2007
Published: November 29, 2007
Virtual Issues
Vol. 3, Iss. 1 Virtual Journal for Biomedical Optics
Citation
Zhi Liu, Jing-qi Yan, David Zhang, and Qing-Li Li, "Automated tongue segmentation in hyperspectral images for medicine," Appl. Opt. 46, 8328-8334 (2007)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-46-34-8328
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