Image Color Feature Extraction Techniques

Fundamentals and Applications
1. Auflage 2021
ISBN: 978-981-15-5760-6
Verlag: Springer Nature Singapore

Buch, Englisch, 83 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 180 g

Reihe: SpringerBriefs in Applied Sciences and Technology

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). 

Zielgruppe

Research

Autoren/Hrsg.

Dey, Nilanjan

Chaki, Jyotismita

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

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.

Über Autor(innen)

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).