Authors:
- Introduces a range of image color feature extraction techniques
- Presents all techniques step-by-step with pictorial examples
- Discusses applications of different image color feature extraction techniques
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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Table of contents (5 chapters)
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Front Matter
About this book
This book introduces a range of image color feature extraction techniques. Readers are encouraged to try implementing the techniques discussed here on their own, all of which are presented in a very simple and step-by-step manner. In addition, the book can be used as an introduction to image color feature techniques for those who are new to the research field and software. The techniques are very easy to understand as most of them are described with pictorial examples. Not only the techniques themselves, but also their applications are covered. Accordingly, the book offers a valuable guide to these tools, which are a vital component of content-based image retrieval (CBIR).
Authors and Affiliations
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School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
Jyotismita Chaki
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Department of Information Technology, Techno India College of Technology, Kolkata, India
Nilanjan Dey
About the authors
Dr. Nilanjan Dey is an Assistant Professor at the Department of Information Technology at Techno India College of Technology, Kolkata, India. He is a Visiting Fellow at the University of Reading, UK, and a Visiting Professor at Wenzhou Medical University, China, and Duy Tan University, Vietnam, He was also an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD. by Jadavpur University in 2015. He has authored/edited more than 45 books with Elsevier, Wiley, CRC Press and Springer, and published more than 300 papers. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, and Associate Editor of IEEE Access and the International Journal of Information Technology, Springer. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, and Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and Data Analysis, CRC. His main research interests include medical imaging, machine learning, computer aided diagnosis and data mining. He is the Indian Ambassador of the International Federation for Information Processing – Young ICT Group. Recently, he has been named as one among the top 10 most published academics in the field of computer science in India (2015-17).
Bibliographic Information
Book Title: Image Color Feature Extraction Techniques
Book Subtitle: Fundamentals and Applications
Authors: Jyotismita Chaki, Nilanjan Dey
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-15-5761-3
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Softcover ISBN: 978-981-15-5760-6Published: 04 June 2020
eBook ISBN: 978-981-15-5761-3Published: 03 June 2020
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XII, 83
Number of Illustrations: 22 b/w illustrations, 31 illustrations in colour
Topics: Computational Intelligence, Image Processing and Computer Vision, Signal, Image and Speech Processing