Image Fusion
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Beschreibung
This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.
This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion.
Covers a range of fundamental and advanced topics in image fusion Introduces a new category of fusion techniques called edge preserving based image fusion Presents various applications of image fusion in medical imaging, remote sensing, night vision, robotics, autonomous vehicles (such as car, drones, etc.), visual inspection in industrial plants, visual surveillance and ambient intelligence, and person re-identification Provides an overview of image fusion based on machine learning and deep learning
Autor*in
Gang Xiao
Themen in »Image Fusion«
Image Fusion Fusion Models Fusion Algorithms Object Tracking Machine Learning Deep Learning Medical Imaging Remote Sensing Night Vision