Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision
Language: English
Published by Apple Academic Press Inc., CA, 2024
- Hardcover
- New

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AbeBooks seller since June 11, 2025
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Add to basketItem description from seller
This new volume provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. Explaining the machine learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods.The authors discuss machine learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using deep learning, using machine learning to record the climate changes in over time with remote sensing, and more.
Seller Inventory # LU-9781774914694
- Title
- Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision
- Author
- Karm Veer Arya
- Publisher
- Apple Academic Press Inc., CA
- Publication year
- 2024
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1774914697
- ISBN 13
- 9781774914694
- Item weight
- 640 grams
This new volume provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. Explaining the machine learning algorithms and models involved, the authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods.
The authors discuss machine learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using deep learning, using machine learning to record the climate changes in over time with remote sensing, and more.
"Synopsis" may belong to another edition of this title.
About the Author
Karm Veer Arya, PhD, is associated with the Department of Information and Communication at the ABV-Indian Institute of Information Technology and Management, Gwalior, India, where he is also Coordinator of the Multimedia and Information Security Research Group. He has more than 29 years of teaching and research experience. Prof. Arya has published more than 150 research papers in various internationally reputed journals and conferences. He has supervised 11 PhD scholars and nearly 100 postgraduate students. Prof. Arya is a recipient of several awards for his work.
Ciro Rodriguez Rodriguez, PhD, is associated with the Department of Software Engineering at National University Mayor de San Marcos and with the Department of Informatic Engineering at National University Federico Villarreal, both in Lima, Peru. He has done advanced studies at the International Centre for Theoretical Physics in Italy, at the U.S. Particle Accelerator School, and at the Information Technology Development Policy Studies at Korea Telecom in South Korea. He has published over 80 research articles in reputed journals and has filed two patents in engineering fields.
Saurabh Singh, PhD, is working as Professor at the School of Computing Science and Engineering, Galgotias University, Greater Noida, India. Dr. Singh has more than 21 years of experience in teaching and research. He has published over 40 research articles in various internationally reputed journals and conferences, written book chapters, and filed nine patents in various fields of engineering.
Abhishek Singhal, PhD, is working as an Associate Professor in the Department of Computer Science and Engineering at Amity University, Noida, India. He has published over 50 Scopusindexed research articles in various internationally reputed journals and conferences.
"About the title" may belong to another edition of this title.
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