Abstract
In this paper, we propose a novel automated tongue segmentation scheme which can well address the edge enhancement and the initialization problem of the tongue body contour. First, according to the grey level distribution of the contour, we propose a 2D Gabor magnitude - based detector for the enhancement of the contour of tongue body. Second, to cope with the discontinuity of edge detection results, we select two stable segments of the tongue body contours and use the fast marching method to obtain the closed tongue body contour. Moreover, gradient vector flow (GVF) snake is used to obtain the final segmentation result and an augmented Lagrangian method is adopted for fast computation of GVF field. Qualitative and quantitative comparisons further verify the superiority of the proposed method for the segmentation of tongue body.
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Cui, Z., Zuo, W., Zhang, H., Zhang, D. (2013). Automated Tongue Segmentation Based on 2D Gabor Filters and Fast Marching. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_42
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DOI: https://doi.org/10.1007/978-3-642-42057-3_42
Publisher Name: Springer, Berlin, Heidelberg
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