
A Beginner's Guide to Image Shape Feature Extraction Techniques
CRC Press
1st Edition
Published on 12. August 2019
Book
Hardback
152 pages
978-0-367-25439-1 (ISBN)
Description
This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in many interdisciplinary fields, the present book is aimed at researchers and graduate students in electrical engineering, data science, computer science, medicine, and machine learning including medical physics and information technology.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate
Illustrations
91 s/w Abbildungen
91 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
439 gr
ISBN-13
978-0-367-25439-1 (9780367254391)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Jyotismita Chaki | Nilanjan Dey
A Beginner's Guide to Image Shape Feature Extraction Techniques
Book
06/2021
1st Edition
CRC Press
€66.70
Shipment within 10-20 days

Jyotismita Chaki | Nilanjan Dey
A Beginner's Guide to Image Shape Feature Extraction Techniques
E-Book
07/2019
1st Edition
CRC Press
€60.49
Available for download

Jyotismita Chaki | Nilanjan Dey
A Beginner's Guide to Image Shape Feature Extraction Techniques
E-Book
07/2019
1st Edition
CRC Press
€60.49
Available for download
Persons
Dr. Jyotismita Chaki is an Asst. Professor in the Department of Information Technology and Engineering in Vellore Institute of Technology, Vellore, India. She has done her PhD (Engg) in digital image processing from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Soft computing, Data mining, Machine learning. She has published one book and 22 international conferences and journal papers. She has also served as a Program Committee member of 2nd International Conference on Advanced Computing and Intelligent Engineering 2017 (ICACIE-2017), 4TH International Conference on Image Information Processing (ICIIP-2017).
Dr. Nilanjan Day was born in Kolkata, India, in 1984. He received his B.Tech. degree in Information Technology from West Bengal University of Technology in 2005,M.Tech. in InformationTechnology in 2011 fromthe same University and Ph.D. in digital image processing in 2015 from Jadavpur University, India. In 2011, he was appointed as an Asst. Professor in the Department of Information Technology at JIS College of Engineering, Kalyani, India followed by Bengal College of Engineering College, Durgapur, India in 2014. He is now employed as an Asst. Professor in Department of Information Technology, Techno India College of Technology, India. His research topic is signal processing, machine learning and information security. Dr. Dey is an Associate Editor of IEEE ACCESS and is currently the Editor in-Chief of the International Journal of Ambient Computing and Intelligence, and Series Editor of Springer Tracts in Nature-Inspired Computing (STNIC).
Dr. Nilanjan Day was born in Kolkata, India, in 1984. He received his B.Tech. degree in Information Technology from West Bengal University of Technology in 2005,M.Tech. in InformationTechnology in 2011 fromthe same University and Ph.D. in digital image processing in 2015 from Jadavpur University, India. In 2011, he was appointed as an Asst. Professor in the Department of Information Technology at JIS College of Engineering, Kalyani, India followed by Bengal College of Engineering College, Durgapur, India in 2014. He is now employed as an Asst. Professor in Department of Information Technology, Techno India College of Technology, India. His research topic is signal processing, machine learning and information security. Dr. Dey is an Associate Editor of IEEE ACCESS and is currently the Editor in-Chief of the International Journal of Ambient Computing and Intelligence, and Series Editor of Springer Tracts in Nature-Inspired Computing (STNIC).
Content
1. Introduction to Shape Feature. 2. One Dimensional Function Shape Features. 3. Geometric Shape Features. 4. Polygonal Approximation Shape Features. 5. Spatial Interrelation Shape Features. 6. Moments Shape Feature. 7. Scale Space Shape Features. 8. Shape Transform Domain Shape Features. 9. Applications of Shape Features.