Tongue Image Analysis

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Különgyűjtemény:e-book
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Nyelv:angol
Megjelenés: Singapore : Springer Singapore, 2017
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Online elérés:https://doi.org/10.1007/978-981-10-2167-1
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id opac-EUL01-000954747
collection e-book
institution L_042
EUL01
spelling Zhang, David
Tongue Image Analysis by David Zhang, Hongzhi Zhang, Bob Zhang
Singapore Springer Singapore 2017
XV, 335 p. ill.
szöveg txt rdacontent
számítógépes c rdamedia
távoli hozzáférés cr rdacarrier
szövegfájl PDF rda
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.
Nyomtatott kiadás: ISBN 9789811021664
Nyomtatott kiadás: ISBN 9789811021688
Nyomtatott kiadás: ISBN 9789811095474
Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők.
könyv
e-book
Biometrics.
Computer vision.
számítógépes látás informatika
Optical pattern recognition.
Medicine, Chinese.
Biomedical engineering.
Medical records Data processing.
Image Processing and Computer Vision.
Pattern Recognition.
Traditional Chinese Medicine.
Biomedical Engineering.
Health Informatics.
elektronikus könyv
Zhang, Hongzhi Tft.
Zhang, Bob Tft.
SpringerLink (Online service) közreadó testület
Online változat https://doi.org/10.1007/978-981-10-2167-1
Singapore Springer Singapore Imprint: Springer 2017
EUL01
language English
format Book
author Zhang, David
spellingShingle Zhang, David
Tongue Image Analysis
Biometrics.
Computer vision.
számítógépes látás -- informatika
Optical pattern recognition.
Medicine, Chinese.
Biomedical engineering.
Medical records -- Data processing.
Biometrics.
Image Processing and Computer Vision.
Pattern Recognition.
Traditional Chinese Medicine.
Biomedical Engineering.
Health Informatics.
elektronikus könyv
author_facet Zhang, David
Zhang, Hongzhi, Tft.
Zhang, Bob, Tft.
SpringerLink (Online service), közreadó testület
author2 Zhang, Hongzhi, Tft.
Zhang, Bob, Tft.
author_corporate SpringerLink (Online service), közreadó testület
author_sort Zhang, David
title Tongue Image Analysis
title_short Tongue Image Analysis
title_full Tongue Image Analysis by David Zhang, Hongzhi Zhang, Bob Zhang
title_fullStr Tongue Image Analysis by David Zhang, Hongzhi Zhang, Bob Zhang
title_full_unstemmed Tongue Image Analysis by David Zhang, Hongzhi Zhang, Bob Zhang
title_auth Tongue Image Analysis
title_sort tongue image analysis
publishDate 2017
publishDateSort 2017
physical XV, 335 p. : ill.
isbn 978-981-10-2167-1
callnumber-first Q - Science
callnumber-subject QH - Natural History and Biology
callnumber-label QH323
callnumber-raw 13892
callnumber-search 13892
topic Biometrics.
Computer vision.
számítógépes látás -- informatika
Optical pattern recognition.
Medicine, Chinese.
Biomedical engineering.
Medical records -- Data processing.
Biometrics.
Image Processing and Computer Vision.
Pattern Recognition.
Traditional Chinese Medicine.
Biomedical Engineering.
Health Informatics.
elektronikus könyv
topic_facet Biometrics.
Computer vision.
számítógépes látás -- informatika
Optical pattern recognition.
Medicine, Chinese.
Biomedical engineering.
Medical records -- Data processing.
Biometrics.
Image Processing and Computer Vision.
Pattern Recognition.
Traditional Chinese Medicine.
Biomedical Engineering.
Health Informatics.
elektronikus könyv
Biometrics.
Computer vision.
számítógépes látás
Optical pattern recognition.
Medicine, Chinese.
Biomedical engineering.
Medical records
Image Processing and Computer Vision.
Pattern Recognition.
Traditional Chinese Medicine.
Biomedical Engineering.
Health Informatics.
informatika
Data processing.
url https://doi.org/10.1007/978-981-10-2167-1
illustrated Illustrated
dewey-hundreds 500 - Science
dewey-tens 570 - Life sciences; biology
dewey-ones 570 - Life sciences; biology
dewey-full 570.15195
dewey-sort 3570.15195
dewey-raw 570.15195
dewey-search 570.15195
first_indexed 2023-12-26T23:17:47Z
last_indexed 2023-12-29T19:19:17Z
recordtype opac
publisher Singapore : Springer Singapore
_version_ 1786641340144025600
score 13,361518
generalnotes 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.