Artificial intelligence and machine learning techniques in image processing and computer vision /
Artificial intelligence and machine learning techniques in image processing and computer vision /
edited by Karm Veer Arya . . . [et al.]
- Abingdon : Apple Academic Press, 2024
- xxiv, 296 p.
- AAP series on digital signal processing, computer vision and image processing .
Includes bibliographical references and index.
"Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. It is a roadmap for the improvement of computer vision and image processing, 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 changes in the Amazon rainforest over time with remote sensing, and more. Researchers, teachers, and students working in the field of artificial intelligence, machine learning, and computer vision will benefit from the knowledge presented here on the diverse applications of computer vision and image processing."-- Provided by publisher
Eng
9781774914694
Image processing
Artificial intelligence
Computer vision
Machine learning
Algorithms
006.37 / ART-
Includes bibliographical references and index.
"Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. It is a roadmap for the improvement of computer vision and image processing, 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 changes in the Amazon rainforest over time with remote sensing, and more. Researchers, teachers, and students working in the field of artificial intelligence, machine learning, and computer vision will benefit from the knowledge presented here on the diverse applications of computer vision and image processing."-- Provided by publisher
Eng
9781774914694
Image processing
Artificial intelligence
Computer vision
Machine learning
Algorithms
006.37 / ART-