Abstract

Info

Title:: Mouth segmentation algorithm for facial diagnosis in traditional Chinese medicine

Author(s):: LUO Shengnan; CHEN Zhaoxue; School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Keywords:: ; Keywords: facial diagnosis in traditional Chinese medicine; face segmentation; mouth; double skin color model; ellipse fitting; improved C-V level set model

Abstract:: Abstract: The precise location according to the characteristics of the mouth area is of great significance for the study of the objectification of traditional Chinese medicine. Therefore, a method based on double skin color model, ellipse fitting and improved C-V level set model is proposed in this study. With the consideration of the smooth similarity of skin color in spatial neighborhood and gray-level domain, an adaptive illumination compensation method based on two-dimensional gamma function is firstly proposed to improve the stability of skin color clustering under non-uniform illumination. Subsequently, the experimentally determined double skin color model is used to perform skin color detection; and mathematical morphology is used to remove noise and other effects; and Sobel method was used to extract the contours. Based on the obtained edge and preliminary contours, the face region was extracted with direct least squares ellipse fitting method. Finally, the mouth area was segmented with the improved C-V level set model. The experimental results reveal that the proposed algorithm can obtain better segmentation results and meet the requirements of facial diagnosis in traditional Chinese medicine, laying a foundation for further segmentation and detection of facial features.