• DocumentCode
    1798479
  • 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
  • Volume
    2
  • fYear
    2014
  • fDate
    13-16 July 2014
  • Firstpage
    867
  • Lastpage
    870
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
  • Conference_Location
    Lanzhou
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4799-4216-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2014.7009723
  • Filename
    7009723