Title :
Region-based hierarchical tongue feature extraction
Author :
Ching-Wei Huang ; Yi-Jyun Chen ; Tzu-Ting Yen ; Kuan-Yi Lin ; Duan-Yu Chen
Author_Institution :
Dept. of Electr. Eng., Yuan Ze Univ., Taoyuan, Taiwan
Abstract :
Tongue diagnosis is important in the Traditional Chinese Medicine (TCM). When doctors analyze the diseases, they usually observe the patient health base on the shape, color and size of tongue. In order to decrease the mistake of subjective judgment, we aim to develop an automatic tongue feature detection system that can help the doctor diagnosis in more scientific way. In this work, a novel region-based hierarchical filtering framework is proposed to robustly detect tongue features. Experiment results obtained using 14-subject dataset with the detection rate being above 70% shows the effectiveness of our proposed framework.
Keywords :
diseases; feature extraction; filtering theory; medical image processing; patient care; TCM; automatic tongue feature detection system; diseases; doctor diagnosis; patient health; region-based hierarchical filtering framework; region-based hierarchical tongue feature extraction; subjective judgment; tongue diagnosis; traditional Chinese medicine; Abstracts; Feature extraction; Image segmentation; Medical diagnostic imaging; Shape; Tongue; Hierarchical; Tongue characteristics; Tongue diagnosis; Tongue image;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location :
Lanzhou
Print_ISBN :
978-1-4799-4216-9
DOI :
10.1109/ICMLC.2014.7009723