Tongue Image Analysis

  • David Zhang
  • Hongzhi Zhang
  • Bob Zhang

Table of contents

  1. Front Matter
    Pages i-xv
  2. Background

    1. Front Matter
      Pages 1-1
    2. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 3-18
    3. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 19-44
  3. Tongue Image Segmentation and Shape Classification

    1. Front Matter
      Pages 45-45
    2. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 47-70
    3. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 71-88
    4. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 89-102
    5. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 103-113
    6. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 115-131
    7. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 133-153
  4. Tongue Color Correction and Classification

    1. Front Matter
      Pages 155-155
    2. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 157-178
    3. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 179-205
    4. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 207-223
    5. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 225-250
    6. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 251-261
  5. Tongue Image Analysis and Diagnosis

    1. Front Matter
      Pages 263-263
    2. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 265-280
    3. David Zhang, Hongzhi Zhang, Bob Zhang
      Pages 281-293

About this book

Introduction

This is the first book offering a systematic description of tongue image analysis and processing technologies and their typical applications in computerized tongue diagnostic (CTD) systems. It features the most current research findings in all aspects of tongue image acquisition, preprocessing, classification, and diagnostic support methodologies, from theoretical and algorithmic problems to prototype design and development of CTD systems. 
The book begins with a very in-depth description of CTD on a need-to-know basis which includes an overview of CTD systems and traditional Chinese medicine (TCM) in order to provide the information on the context and background of tongue image analysis. The core part then introduces algorithms as well as their implementation methods, at a know-how level, including image segmentation methods, chromatic correction, and classification of tongue images. Some clinical applications based on these methods are presented for the show-how purpose in the CTD research field. Case studies highlight different techniques that have been adopted to assist the visual inspection of appendicitis, diabetes, and other common diseases. Experimental results under different challenging clinical circumstances have demonstrated the superior performance of these techniques. 
In this book, the principles of tongue image analysis are illustrated with plentiful graphs, tables, and practical experiments to provide insights into some of the problems. In this way, readers can easily find a quick and systematic way through the complicated theories and they can later even extend their studies to special topics of interest. This book will be of benefit to researchers, professionals, and graduate students working in the field of computer vision, pattern recognition, clinical practice, and TCM, as well as those involved in interdisciplinary research.

Keywords

Tongue Image Analysis Computerized Tongue Diagnosis (CTD) Traditional Chinese Medicine (TCM) Tongue Image Acquisition Tongue Color Correction Medical Image Segmentation Tongue Image Classification Medical Biometrics Automated Tongue Image Segmentation Image Processing Pattern Recognition Feature Extraction Image Classification Color Calibration Hyperspectral Imaging

Authors and affiliations

  • David Zhang
    • 1
  • Hongzhi Zhang
    • 2
  • Bob Zhang
    • 3
  1. 1.The Hong Kong Polytechnic UniversityHong KongChina
  2. 2.School of Computer Science and TechnologyHarbin Institute of TechnologyHarbinChina
  3. 3.Department of Computer and Information ScienceThe University of MacauTaipaMacao

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-2167-1
  • Copyright Information Springer Science+Business Media Singapore 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-2166-4
  • Online ISBN 978-981-10-2167-1
  • About this book