Image Color Feature Extraction Techniques (eBook)
XII, 83 Seiten
Springer Singapore (Verlag)
978-981-15-5761-3 (ISBN)
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).
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).
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).
| Erscheint lt. Verlag | 3.6.2020 |
|---|---|
| Reihe/Serie | SpringerBriefs in Applied Sciences and Technology |
| SpringerBriefs in Applied Sciences and Technology | |
| SpringerBriefs in Computational Intelligence | SpringerBriefs in Computational Intelligence |
| Zusatzinfo | XII, 83 p. 53 illus., 31 illus. in color. |
| Sprache | englisch |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Color Coherence Vector • Color Moments • Color Quantization • Color Space • Full Color Image Processing • Histogram Based Color Features • Image Color Feature • MPEG-7 Color Descriptors • Pseudo Color Image Processing |
| ISBN-10 | 981-15-5761-6 / 9811557616 |
| ISBN-13 | 978-981-15-5761-3 / 9789811557613 |
| Haben Sie eine Frage zum Produkt? |
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