Tongue Image Analysis / by David Zhang, Hongzhi Zhang, Bob Zhang.

Format:

Book

Author/Creator:

Zhang, David, 1949- author.

Zhang, Hongzhi (Of Haerbin gong ye da xue), author.

Zhang, Bob (Of Aomen da xue), author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Biometry.

Optical data processing.

Pattern perception.

Medicine, Chinese.

Biomedical engineering.

Medical informatics.

Biometrics.

Image Processing and Computer Vision.

Pattern Recognition.

Traditional Chinese Medicine.

Biomedical Engineering and Bioengineering.

Health Informatics.

Local Subjects:

Biometrics.

Image Processing and Computer Vision.

Pattern Recognition.

Traditional Chinese Medicine.

Biomedical Engineering and Bioengineering.

Health Informatics.

Physical Description:

1 online resource (XV, 335 pages) : 193 illustrations, 144 illustrations in color

Edition:

First edition 2017.

Contained In:

Springer eBooks

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2017.

System Details:

text file PDF

Summary:

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.

Contents:

1. Introduction to Tongue Image Analysis

2. Tongue Images Acquisition System Design

3. Tongue Image Segmentation by Bi-Elliptical Deformable Contour

4. A Snake-Based Approach to Automated Tongue Image Segmentation

5. Tongue Segmentation in Hyperspectral Images

6. Tongue Segmentation by Gradient Vector Flow and Region Merging

7. Tongue Segmentation by Fusing Region-based and Edge-based Approaches

8. Tongue Shape Classification by Geometric Features

9. Color Correction Scheme for Tongue Images

10. Tongue Color Checker for Precise Correction

11. Tongue Color Analysis for Medical Application

12. Statistical Analysis of Tongue Color and Its Applications in Diagnosis

13. Hyperspetral Tongue Image Classification

14. Computerized Tongue Diagnosis based on Bayesian Networks

15. Tongue Image Analysis for Appendicitis Diagnosis

16. Diagnosis Using Quantitative Tongue Feature Classification

17. Detecting Diabetes Mellitus and Non-Proliferative Diabetic Retinopathy Using CTD Introduction

18. Book Review and Future Word.

Other Format:

Printed edition:

ISBN:

978-981-10-2167-1

9789811021671

Access Restriction:

Restricted for use by site license.