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SpringerBriefs in Computational Intelligence

Texture Feature Extraction Techniques for Image Recognition

Authors: Chaki, Jyotismita, Dey, Nilanjan

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  • Provides details of the need for image shape features in CBIR
  • Highlights different texture extraction methods, like statistical, structural, model-based and signal-processed
  • Addresses various applications of image analysis using texture feature
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About this book

The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.

About the authors

Dr. Jyotismita Chaki is currently an Assistant Professor in School of Information Technology and Engineering at Vellore Institute of Technology, Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Machine learning, Pattern Recognition, Medical Imaging, Soft computing and Artificial Intelligence. She is an author of 2 Authored books and many research publications in reputed international journals and conference proceedings. She is an editor of 2 edited books. She has served as a reviewer of Applied Soft Computing (Elsevier), Biosystem Engineering (Elsevier), Pattern Recognition Letters (Elsevier), Journal of Visual Communication and Image Representation (Elsevier), Signal Image and Video Processing (Springer), IEEE ACCESS journals and also served as Program Committee member of many International Conferences.

Dr. Nilanjan Dey is an Assistant Professor in the Department of Information Technology at Techno International New Town (Formerly known as Techno India College of Technology), Kolkata, India. He is a visiting fellow of the University of Reading, UK. He is a Visiting Professor at Duy Tan University, Vietnam. He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD. from Jadavpur University in 2015.                                                                                              He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, IGI Global. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing, Springer Nature, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare, Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC. He has authored/edited more than 50 books with Springer, Elsevier, Wiley, CRC Press and published more than 300 peer-reviewed research papers.                                                                                  His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis, Data Mining etc. He is the Indian Ambassador of the International Federation for Information Processing (IFIP) – Young ICT Group.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $44.99
price for USA in USD
  • ISBN 978-981-15-0853-0
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $59.99
price for USA in USD
  • ISBN 978-981-15-0852-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Texture Feature Extraction Techniques for Image Recognition
Authors
Series Title
SpringerBriefs in Computational Intelligence
Copyright
2020
Publisher
Springer Singapore
Copyright Holder
The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-15-0853-0
DOI
10.1007/978-981-15-0853-0
Softcover ISBN
978-981-15-0852-3
Series ISSN
2625-3704
Edition Number
1
Number of Pages
XIV, 100
Number of Illustrations
63 b/w illustrations, 12 illustrations in colour
Topics

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