Image Color Feature Extraction Techniques, 1st ed. 2021 Fundamentals and Applications SpringerBriefs in Computational Intelligence Series
Auteurs : Chaki Jyotismita, Dey Nilanjan
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).
Introduction to Image Color Feature.- Histogram based Image Color Feature.- : MPEG-7 based Image Color Feature.- Other Image Color Feature Extraction Techniques.- Applications of Color Features.
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, Spr
Date de parution : 06-2020
Ouvrage de 83 p.
15.5x23.5 cm