東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Tongue image analysis

Zhang, David.

FindBook

Google Book

Amazon

博客來

Tongue image analysis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Tongue image analysis/ by David Zhang, Hongzhi Zhang, Bob Zhang.
作者:	Zhang, David.
其他作者:	Zhang, Hongzhi.
出版者:	Singapore :Springer Singapore : : 2017.,
面頁冊數:	xv, 335 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Image analysis. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-2167-1
ISBN:	9789811021671

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

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

561018
Image analysis.

LC Class. No.: TA1637

Dewey Class. No.: 006.37

Tongue image analysis
LDR:03896nmm a2200325 a 4500 001 2090125
003 DE-He213
005 20170228102024.0
006 m d
007 cr nn 008maaau
008 171013s2017 si s 0 eng d
020 $a 9789811021671 $q (electronic bk.)
020 $a 9789811021664 $q (paper)
024 7 $a 10.1007/978-981-10-2167-1 $2 doi
035 $a 978-981-10-2167-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1637
072 7 $a UYQP $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 006.37 $2 22
090 $a TA1637 $b .Z63 2017
100 1 $a Zhang, David. $3 1073796
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 561018
650 0 $a Diagnostic imaging $x Data processing. $3 817500
650 0 $a Diagnostic imaging $x Digital techniques. $3 813376
650 0 $a Tongue manifestations of general diseases. $3 3221346
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Biometrics. $3 898232
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Pattern Recognition. $3 891045
650 2 4 $a Traditional Chinese Medicine. $3 3221347
650 2 4 $a Biomedical Engineering. $3 720279
650 2 4 $a Health Informatics. $3 892928
700 1 $a Zhang, Hongzhi. $3 1916537
700 1 $a Zhang, Bob. $3 3221345
710 2 $a SpringerLink (Online service) $3 836513
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)