Tongue Image Analysis

by David Zhang

->>->>->>DOWNLOAD BOOK Tongue Image Analysis


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.




















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David Zhang
Cookies This page is using cookies to give you the best user experienceAbstract:Medical diagnosis using the tongue is a unique and important diagnostic method of traditional Chinese medicine (TCM)Foley et al, Computer Graphics: Principles and Practice, Addison-Wesley, Reading, MA, 1990.Google Scholar6.R-NN was also tested but did not perform as wellTo reduce the number of features, sequential forward selection (SFS) [23] was implementedTongue Segmentation in Hyperspectral Images David Zhang, Hongzhi Zhang, Bob Zhang 2017 OriginalPaper Chapter Chapter 6Springer, Berlin, HeidelbergIn DM the majority shape is obtuse triangle, accounting for 86.15% (255/296)In EG the dominant shapes are circle or square, making up 85.00% (17/20)3.2.4

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 problemsFor NR, acute triangle takes the majority with 83.33% (75/90)MCopyright informationSpringer-Verlag Berlin Heidelberg2003Table of contents (18 chapters) Introduction to Tongue Image Analysis Zhang, David (et al.) Pages 3-18 Preview Buy Chapter $29.95 Tongue Images Acquisition System Design Zhang, David (et al.) Pages 19-44 Preview Buy Chapter $29.95 Tongue Image Segmentation by Bi-elliptical Deformable Contour Zhang, David (et al.) Pages 47-70 Preview Buy Chapter $29.95 A Snake-Based Approach to Automated Tongue Image Segmentation Zhang, David (et al.) Pages 71-88 Preview Buy Chapter $29.95 Tongue Segmentation in Hyperspectral Images Zhang, David (et al.) Pages 89-102 Preview Buy Chapter $29.95 Tongue Segmentation by Gradient Vector Flow and Region Merging Zhang, David (et al.) Pages 103-113 Preview Buy Chapter $29.95 Tongue Segmentation by Fusing Region-Based and Edge-Based Approaches Zhang, David (et al.) Pages 115-131 Preview Buy Chapter $29.95 Tongue Shape Classification by Geometric Features Zhang, David (et al.) Pages 133-153 Preview Buy Chapter $29.95 Color Correction Scheme for Tongue Images Zhang, David (et al.) Pages 157-178 Preview Buy Chapter $29.95 Tongue Colorchecker for Precise Correction Zhang, David (et al.) Pages 179-205 Preview Buy Chapter $29.95 Tongue Color Analysis for Medical Application Zhang, David (et al.) Pages 207-223 Preview Buy Chapter $29.95 Statistical Analysis of Tongue Color and Its Applications in Diagnosis Zhang, David (et al.) Pages 225-250 Preview Buy Chapter $29.95 Hyperspectral Tongue Image Classification Zhang, David (et al.) Pages 251-261 Preview Buy Chapter $29.95 Computerized Tongue Diagnosis Based on Bayesian Networks Zhang, David (et al.) Pages 265-280 Preview Buy Chapter $29.95 Tongue Image Analysis for Appendicitis Diagnosis Zhang, David (et al.) Pages 281-293 Preview Buy Chapter $29.95 Diagnosis Using Quantitative Tongue Feature Classification Zhang, David (et al.) Pages 295-301 Preview Buy Chapter $29.95 Detecting Diabetes Mellitus and Nonproliferative Diabetic Retinopathy Using CTD Zhang, David (et al.) Pages 303-325 Preview Buy Chapter $29.95 Book Review and Future Work Zhang, David (et al.) Pages 329-331 Preview Buy Chapter $29.95 Show next xx Show all About the authors David Zhang graduated in Computer Science from Peking UniversityUsing this device we form a large tongue image database consisting of 672 samples.degree in electrical and computer engineering from the University of Waterloo, Waterloo, Canada, in 2011The authors in [21] proposed an approach to automatically recognize tongue shapes based on geometry features

This allows consistent feature extraction and classification in the following stepsIn 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 interestAfterwards, a detailed description of the 13 geometry features extracted from a tongue image is given in Section 2.23.2.2Mukherjee, JReferences1.S.TActon, D.PTo classify tongue images into its proper shape, a decision tree structure shown in Figure 8 is usedThe right point of the triangle is , the left point is , and the bottom is 40, pp

3.1DetailsCloseWidthSmaller half distance () is the half distance of or depending on which segment is shorter (see Figure 2):Some clinical applications based on these methods are presented for the show-how purpose in the CTD research field2.2.6RectangleFigure 7 depicts the 5 tongue shapes using typical samplesTongue Shape ClassificationJain, R 07f867cfac
David Zhang

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