Please use this identifier to cite or link to this item:
Title: Tongue coating image retrieval
Authors: Huang, B
Zhang, D 
Li, Y
Zhang, H
Li, N
Keywords: Computerized tongue diagnosis
Image retrieval
Tongue coating
Issue Date: 2011
Source: 2011 3rd International Conference on Advanced Computer Control, ICACC 2011, 2011, p. 292-296 How to cite?
Abstract: Along with the rapid growth of medical data, image retrieval, a kind of technology for browsing, searching and retrieving similar images of the given image, has become increasingly important from a large database of digital images. Tongue coating is the most important characteristic to reveal the pathological changes of the tongues for identifying diseases. In this paper, an efficient and effective technique is proposed to retrieve coating images. We obtain the pixel template value of pixels by applying thresholding segmentation based relative entropy. Then we use a Reduced K Nearest Neighbor algorithm to extract 20-dimension feature vector based on a prior layout distribution. Finally, a distance based the cumulative ratio is proposed for tongue coating image matching. The experimental results indicate that the proposed scheme eliminates the imprecision and uncertainty associated with medical tongue coating analysis.
Description: 3rd IEEE International Conference on Advanced Computer Control, ICACC 2011, Harbin, 18-20 January 2011
ISBN: 9781424488087
DOI: 10.1109/ICACC.2011.6016417
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Dec 6, 2018

Page view(s)

Last Week
Last month
Citations as of Dec 17, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.