Texture Feature Extraction Techniques for Image Recognition (eBook)
XIV, 100 Seiten
Springer Singapore (Verlag)
978-981-15-0853-0 (ISBN)
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.
Dr. Jyotismita Chaki is 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, Pattern Recognition, Medical Imaging, Soft computing, Data mining, Machine learning. She has authored many international conferences and journal papers. She is the author of the following books titled: (1) A Beginner's Guide to Image Preprocessing Techniques from CRC Press, Taylor and Francis and (2) A Beginner's Guide to Image Shape Feature Extraction Techniques from CRC Press, Taylor and Francis. 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) journal and also served as 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 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 an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from 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 and an associate editor of IEEE Access and the International Journal of Information Technology. He also the series co-editor of Tracts in Nature-Inspired Computing, Advances in Ubiquitous Sensing Applications for Healthcare, and 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 International Federation for Information Processing - Young ICT Group. Recently, he has been named as one of the top 10 most published academics in the field of computer science in India (2015-17).
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.
| Erscheint lt. Verlag | 24.10.2019 |
|---|---|
| Reihe/Serie | SpringerBriefs in Applied Sciences and Technology |
| SpringerBriefs in Applied Sciences and Technology | |
| SpringerBriefs in Computational Intelligence | SpringerBriefs in Computational Intelligence |
| Zusatzinfo | XIV, 100 p. 75 illus., 12 illus. in color. |
| Sprache | englisch |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Markov model • Statistical Texture Features • Texture features • Walsh Transform • wavelet transform |
| ISBN-10 | 981-15-0853-4 / 9811508534 |
| ISBN-13 | 978-981-15-0853-0 / 9789811508530 |
| Haben Sie eine Frage zum Produkt? |
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