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 Tongue Extraction Algorithm Based on Dynamic Thresholds and Correction Model

  

  1. 1. School of Medicine, Jiaying College, Meizhou 514031, China;

      2. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China
  • Online:2014-11-27 Published:2014-12-10

Abstract:

 To address the problem of segmenting the tongue body from a tongue picture, a novel algorithm is proposed, which is based on prior knowledge of color, shape
and position of tongue body. Using HIS color model, the algorithm preserves the contour of tongue body while information of lip and face tissues is removed accurately. After
that, the tongue body contour is refined by dynamic threshold segmentation algorithm. Finally, the tongue body is extracted by a regularization model. Experiments and data
analysis show that the proposed method in the ability to resist noise and extract the precision better than other operator. In addition, the method works well in presence of lip
and face tissues. good results are obtained by the proposed algorithm in spite of the sunken area of tongue body. Accurate segmentation of tongue body plays an important role of
preparing good extraction of coating on the tongue.

Key words:  HIS color model, dynamic threshold, correction model, image fusion, tongue body extract