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Image 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 veh...

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Main Authors: Xiao, Gang. (Author, http://id.loc.gov/vocabulary/relators/aut), Bavirisetti, Durga Prasad. (http://id.loc.gov/vocabulary/relators/aut), Liu, Gang. (http://id.loc.gov/vocabulary/relators/aut), Zhang, Xingchen. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2020.
Edition:1st ed. 2020.
Subjects:
Optical data processing.
Image Processing and Computer Vision.
Online Access:https://doi.org/10.1007/978-981-15-4867-3
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245 1 0 |a Image Fusion  |h [electronic resource] /  |c by Gang Xiao, Durga Prasad Bavirisetti, Gang Liu, Xingchen Zhang. 
250 |a 1st ed. 2020. 
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300 |a XVIII, 404 p. 231 illus., 76 illus. in color.  |b online resource. 
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505 0 |a Preface -- Author introduction -- Acknowledgement -- Part I: Image Fusion Theories -- Chapter 1: Introduction to Image Fusion -- Chapter 2: Pixel-level Image Fusion -- Chapter 3: Feature-level Image Fusion -- Chapter 4: Decision-level Image Fusion -- Chapter 5: Multi-sensor Dynamic Image Fusion -- Chapter 6: Objective Fusion Metrics -- Chapter 7: Image Fusion Based on Machine Learning and Deep Learning -- Part II: Experimental Examples -- Chapter 8: Example 1: Medical Image Fusion -- Chapter 9: Example 2: Night Vision image Fusion -- Chapter 10: Simulation Platform of Image Fusion. 
520 |a 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. 
650 0 |a Optical data processing. 
650 1 4 |a Image Processing and Computer Vision.  |0 https://scigraph.springernature.com/ontologies/product-market-codes/I22021 
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700 1 |a Liu, Gang.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Zhang, Xingchen.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

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