Abstract
Texture information of tongue image is one of the most important pathological features utilized in practical Tongue Diagnosis because it can reveal the severeness and change tendency of the illness. A texture segmentation method based on Gabor filter plus Normalized Cut is proposed in this paper. This method synthesizes the information of location, color and texture feature to be the weight for Normalized Cut, thus can make satisfactroy segmentation according to texture of tongue image. The experiments show that the overall rate of correctness for this method exceeds 81%.
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Li, J., Shi, J., Zhang, H., Li, Y., Li, N., Liu, C. (2010). Tongue Image Texture Segmentation Based on Gabor Filter Plus Normalized Cut. In: Zhang, D., Sonka, M. (eds) Medical Biometrics. ICMB 2010. Lecture Notes in Computer Science, vol 6165. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13923-9_12
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DOI: https://doi.org/10.1007/978-3-642-13923-9_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13922-2
Online ISBN: 978-3-642-13923-9
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