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Tongue image analysis

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Tongue image analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Tongue image analysisby David Zhang, Hongzhi Zhang, Bob Zhang.
Author:	Zhang, David.
other author:	Zhang, Hongzhi.
Published:	Singapore :Springer Singapore :2017.
Description:	xv, 335 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Image analysis.
Online resource:	http://dx.doi.org/10.1007/978-981-10-2167-1
ISBN:	9789811021671$q(electronic bk.)

Tongue image analysis
Zhang, David.

Tongue image analysis[electronic resource] /by David Zhang, Hongzhi Zhang, Bob Zhang. - Singapore :Springer Singapore :2017. - xv, 335 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9789811021671$q(electronic bk.)

Standard No.: 10.1007/978-981-10-2167-1doiSubjects--Topical Terms:

190419
Image analysis.

LC Class. No.: TA1637

Dewey Class. No.: 006.37

Tongue image analysis
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245 1 0 $a Tongue image analysis $h [electronic resource] / $c by David Zhang, Hongzhi Zhang, Bob Zhang.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2017.
300 $a xv, 335 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Image analysis. $3 190419
650 0 $a Diagnostic imaging $x Data processing. $3 276544
650 0 $a Diagnostic imaging $x Digital techniques. $3 191915
650 0 $a Tongue manifestations of general diseases. $3 773765
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Biometrics. $3 274525
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Pattern Recognition. $3 273706
650 2 4 $a Traditional Chinese Medicine. $3 773766
650 2 4 $a Biomedical Engineering. $3 190464
650 2 4 $a Health Informatics. $3 274212
700 1 $a Zhang, Hongzhi. $3 701725
700 1 $a Zhang, Bob. $3 773764
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773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-2167-1
950 $a Computer Science (Springer-11645)