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Updated: May 24, 2026
08:32
Ultrasound Images of the Tongue: A Tutorial for Assessment and Remediation of Speech Sound Errors
Published on: January 3, 2017
[A new method of automatic analysis of tongue deviation using self-correction]
Mingfeng Zhu1, Jianqiang Du, Fan Meng
1School of Computer Science, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China. solarlight@163.com
Summary
This study introduces a novel shape symmetry analysis for tongue deviation, improving central axis extraction accuracy. The new method offers enhanced precision and efficiency over older techniques for tongue image analysis.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Computational Anatomy
Context:
- Traditional tongue deviation analysis methods often struggle with accurate central axis extraction.
- Existing central axis extraction techniques based on area symmetry are unsuitable for complex tongue images.
- Limitations in current methods necessitate the development of more robust analytical approaches.
Purpose:
- To develop and introduce an improved method for tongue deviation analysis.
- To enhance the accuracy and reliability of central axis extraction in tongue images.
- To introduce a novel mouth corner analysis method based on variational hue.
Summary:
- A new shape symmetry analysis method is proposed for extracting the central axis of tongue images, overcoming limitations of area symmetry methods.
- This method automatically corrects the tongue root edge, significantly improving central axis extraction accuracy.
- A complementary mouth corner analysis technique utilizing variational hue in tongue images is also presented.
Impact:
- The new method demonstrates superior accuracy and efficiency compared to existing tongue analysis techniques.
- Improved tongue deviation analysis can lead to more precise diagnoses and treatment monitoring.
- This research contributes to advancements in medical image processing and diagnostic tools.
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