Texts in Computer Science
cover

Fundamentals of Image Data Mining

Analysis, Features, Classification and Retrieval

Authors: Zhang, Dengsheng

  • Presents a complete introduction to image data mining, and a treasure trove of cutting-edge techniques in image data mining 
  • Describes the applied mathematics and mathematical modeling in an engaging style, complete with an accessible introduction to the foundational and engineering mathematics
  • Offers a shortcut entry into AI and machine learning, introducing four major machine learning tools with gentle mathematics
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Buy this book

eBook $64.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: July 20, 2021
  • ISBN 978-3-030-69251-3
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $84.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 22, 2021
  • ISBN 978-3-030-69250-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
About this Textbook

This unique and useful textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments. 

 

Topics and features: 

 

  • Describes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms
  • Develops many new exercises (most with MATLAB code and instructions)
  • Includes review summaries at the end of each chapter
  • Analyses state-of-the-art models, algorithms, and procedures for image mining
  • Integrates new sections on pre-processing, discrete cosine transform, and statistical inference and testing
  • Demonstrates how features like color, texture, and shape can be mined or extracted for image representation
  • Applies powerful classification approaches: Bayesian classification, support vector machines, neural networks, and decision trees
  • Implements imaging techniques for indexing, ranking, and presentation, as well as database visualization

 

This easy-to-follow, award-winning book illuminates how concepts from fundamental and advanced mathematics can be applied to solve a broad range of image data mining problems encountered by students and researchers of computer science. Students of mathematics and other scientific disciplines will also benefit from the applications and solutions described in the text, together with the hands-on exercises that enable the reader to gain first-hand experience of computing.

About the authors

Dr. Dengsheng Zhang is Senior Lecturer in the School of Engineering, Information Technology and Physical Sciences at Federation University Australia and a Guest Professor of Xi'an University of Posts & Telecommunications, China. He is on the list of Top 2% Scientists in the World ranked by Stanford University. Dr Zhang was the Textbook & Academic Authors Association’s winner of their 2020 Most Promising New Textbook Award, with the judges noting: 

 

Fundamentals of Image Data Mining provides excellent coverage of current algorithms and techniques in image analysis. It does this using a progression of essential and novel image processing tools that give students an in-depth understanding of how the tools fit together and how to apply them to problems.”

Buy this book

eBook $64.99
price for USA in USD
  • The eBook version of this title will be available soon
  • Due: July 20, 2021
  • ISBN 978-3-030-69251-3
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover $84.99
price for USA in USD
  • Customers within the U.S. and Canada please contact Customer Service at +1-800-777-4643, Latin America please contact us at +1-212-460-1500 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: June 22, 2021
  • ISBN 978-3-030-69250-6
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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Bibliographic Information

Bibliographic Information
Book Title
Fundamentals of Image Data Mining
Book Subtitle
Analysis, Features, Classification and Retrieval
Authors
Series Title
Texts in Computer Science
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-69251-3
DOI
10.1007/978-3-030-69251-3
Hardcover ISBN
978-3-030-69250-6
Series ISSN
1868-0941
Edition Number
2
Number of Pages
XXXIII, 365
Number of Illustrations
109 b/w illustrations, 129 illustrations in colour
Topics