Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33135
Title: Automatic tongue image segmentation based on gradient vector flow and region merging
Authors: Ning, J
Zhang, D 
Wu, C
Yue, F
Keywords: Gradient vector flow (GVF)
Image segmentation
Region merging
Traditional Chinese tongue diagnosis (TCTD)
Watershed
Issue Date: 2012
Source: Neural computing and applications, 2012, v. 21, no. 8, p. 1819-1826 How to cite?
Journal: Neural Computing and Applications 
Abstract: This paper presents a region merging-based automatic tongue segmentation method. First, gradient vector flow is modified as a scalar diffusion equation to diffuse the tongue image while preserving the edge structures of tongue body. Then the diffused tongue image is segmented into many small regions by using the watershed algorithm. Third, the maximal similarity-based region merging is used to extract the tongue body area under the control of tongue marker. Finally, the snake algorithm is used to refine the region merging result by setting the extracted tongue contour as the initial curve. The proposed method is qualitatively tested on 200 images by traditional Chinese medicine practitioners and quantitatively tested on 50 tongue images using the receiver operating characteristic analysis. Compared with the previous active contour model-based bi-elliptical deformable contour algorithm, the proposed method greatly enhances the segmentation performance, and it could reliably extract the tongue body from different types of tongue images.
URI: http://hdl.handle.net/10397/33135
ISSN: 0941-0643
DOI: 10.1007/s00521-010-0484-3
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

21
Last Week
0
Last month
0
Citations as of May 19, 2017

WEB OF SCIENCETM
Citations

14
Last Week
1
Last month
0
Citations as of May 20, 2017

Page view(s)

36
Last Week
2
Last month
Checked on May 21, 2017

Google ScholarTM

Check

Altmetric



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