Image Color Feature Extraction Techniques: Fundamentals and Applications

Author:   Jyotismita Chaki ,  Nilanjan Dey
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2021
ISBN:  

9789811557606


Pages:   83
Publication Date:   04 June 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Image Color Feature Extraction Techniques: Fundamentals and Applications


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Overview

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). 

Full Product Details

Author:   Jyotismita Chaki ,  Nilanjan Dey
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2021
Weight:   0.454kg
ISBN:  

9789811557606


ISBN 10:   9811557608
Pages:   83
Publication Date:   04 June 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Dr. JyotismitaChaki is an Assistant Professor at the School of Information Technology and Engineering,Vellore Institute of Technology, Vellore, India. Holding a PhD (Engg) from Jadavpur University, Kolkata, India, her research interests include: Computer Vision and Image Processing, Artificial Intelligence, Pattern Recognition, Medical Imaging, Soft Computing, Data Mining, and Machine Learning. She has authored many papers for journals and international conference proceedings, as well as the following books: (1) A Beginner’s Guide to Image Preprocessing Techniques (CRC Press, Taylor and Francis), (2) A Beginner’s Guide to Image Shape Feature Extraction Techniques (CRC Press, Taylor and Francis), and (3) Texture Feature Extraction Techniques for Image Recognition (Springer). She has served as a reviewer for several journals, including Applied Soft Computing (Elsevier), Biosystem Engineering (Elsevier), Pattern Recognition Letters (Elsevier), Journal of Visual Communication and Image Representation (Elsevier), and Signal Image and Video Processing (Springer).   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).

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