Automatic Tongue Location and Segmentation

摘要：

Automatic tongue location and segmentation is challenging due to the complexity of pathological tongues, variance of tongue shapes and interference of lips. This paper proposes an unsupervised tongue location and segmentation method to address these problems. Firstly, look-up-table (LUT) based real AdaBoost algorithm is introduced to get the cascade tongue detector which can make locating tongue in human face images faster. Then, color cancellation is used to remove the lip and a method which combines radial edge detection with active contour model is presented to get the exact contour of tongue. The whole algorithm can be done without any human interference and experimental results are pretty satisfying with a precise rate up to 94.91%.

作者: Zhicheng Fu Wei Li Xiaoqiang Li Fufeng Li Yiqin Wang

作者单位: School of Computer Engineering and Science, Shanghai University, Shanghai 200072 Department of Computer Science and Engineering, Fudan University, Shanghai 200433 Shanghai University of Traditional Chinese Medicine, Shanghai 201203

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 1050-1055

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）