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Multispectral Image Fusion and Colorization.

Author: Yufeng Zhang
Publisher: Bellingham : Society of Photo-Optical Instrumentation Engineers (SPIE), 2018.
Series: Press Monograph.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Zhang, Yufeng.
Multispectral Image Fusion and Colorization.
Bellingham : Society of Photo-Optical Instrumentation Engineers (SPIE), ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Yufeng Zhang
ISBN: 9781510619074 1510619070
OCLC Number: 1035516873
Notes: A.1 Image Fusion Code.
Description: 1 online resource (397 pages).
Contents: Intro; Copyright; Dedication; Preface; List of Acronyms; Chapter 1 Motivation; 1.1 What Is Image Fusion?; 1.2 The Purpose of Image Fusion; 1.3 How Image Fusion Works; 1.4 Applications; 1.5 Summary; References; Part I: Image Fusion Concepts; Chapter 2 Introduction; 2.1 Image Fusion Survey; 2.2 Image Fusion Algorithms; 2.3 Datasets for Image Fusion; 2.4 Summary; References; Chapter 3 Biological Vision; 3.1 Animal Vision with Image Fusion Systems; 3.2 Human Visual System; 3.3 Visual Perception; 3.4 Application Examples; 3.5 Summary; References; Chapter 4 Operating Conditions; 4.1 Layered Sensing. 4.2 Introduction to Operating Conditions4.3 Operating-Condition Modeling Terminology; 4.4 Operating-Condition Model Design; 4.5 Operating-Condition Example; 4.6 Case Study 1: Conditioning Based On OCs; 4.7 Case Study 2: Multimodal Tracking; 4.8 Case Study 3: Image Fusion Tracking over OCs; 4.9 Discussion; 4.10 Conclusions; References; Part II: Image Fusion Theory; Chapter 5 Image Analysis; 5.1 Preprocessing; 5.2 Registration; 5.3 Segmentation; 5.4 Feature Extraction; 5.5 Classification; 5.6 Examples; 5.7 Summary; References; Chapter 6 Information Fusion Levels; 6.1 Architectures. 6.2 Pixel (Signal) Level6.3 Feature Level; 6.4 Score Level; 6.5 Decision Level; 6.6 Examples; 6.7 Confusion-Matrix Decision-Level Fusion; 6.8 Summary; References; Chapter 7 Image Fusion Methods; 7.1 Pyramids; 7.2 Wavelets; 7.3 Image Fusion Applications; 7.4 Bandelet-Based Fusion; 7.5 Contourlet-Based Fusion; 7.6 Examples; 7.7 Summary; References; Chapter 8 Colorization Methods; 8.1 Introduction; 8.2 Preprocessing and the Color-Space Transform; 8.3 Segmentation-Based Colorization Method; 8.4 Channel-Based Color-Fusion Methods; 8.5 Color-Mapping Colorization Methods; 8.6 Examples; 8.7 Summary. 10.7 Statistical Comparison of Image Fusion Algorithms10.8 Summary; References; Part IV: Image Fusion Applications; Chapter 11 Fusion Applications in Biometrics; 11.1 Multispectral-Face-Recognition Example; 11.2 Biometric-Score-Fusion Example; References; Chapter 12 Additional Fusion Applications; 12.1 Iterative-Wavelet-Fusion Example; 12.2 Medical-Image-Fusion Example; 12.3 Terahertz and Visual Image Fusion; References; Chapter 13 Summary; 13.1 Fusion Methods; 13.2 Fusion Metrics; 13.3 Fusion Examples; 13.4 Concluding Remarks and Future Trends; Appendix Online Resources.
Series Title: Press Monograph.

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