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This book is indexed in
Computer and Information Science » Computer Graphics
Image Fusion and Its Applications
Edited by Yufeng Zheng, Alcorn State University, USA , ISBN 978-953-307-182-4, Hard cover, 242 pages, Publisher: InTech, Chapters published June 24, 2011 under CC BY-NC-SA 3.0 license
DOI: 10.5772/691
The purpose of this book is to provide an overview of basic image fusion techniques and serve as an introduction to image fusion applications in variant fields. It is anticipated that it will be useful for research scientists to capture recent developments and to spark new ideas within the image fusion domain. With an emphasis on both the basic and advanced applications of image fusion, this 12-chapter book covers a number of unique concepts that have been graphically represented throughout to enhance readability, such as the wavelet-based image fusion introduced in chapter 2 and the 3D fusion that is proposed in Chapter 5. The remainder of the book focuses on the area application-orientated image fusions, which cover the areas of medical applications, remote sensing and GIS, material analysis, face detection, and plant water stress analysis.
- Chapter 1
Survey of Multispectral Image Fusion Techniques in Remote Sensing Applications - Chapter 2
Image Fusion Based on Integer Lifting Wavelet Transform - Chapter 3
An Exploration of Color Fusion with Multispectral Images for Night Vision Enhancement - Chapter 4
Image Fusion Based on Color Transfer Technique - Chapter 5
3D Fusion of Stereo and Spectral Series Acquired with Camera Arrays - Chapter 6
Medical Image Fusion Schemes Using Contourlet Transform and PCA Bases - Chapter 7
Detecting Coronary Layers in IVUS Pictures Using Image Fusion Approach - Chapter 8
Fusion of Multisource Images for Update of Urban GIS - Chapter 9
Image Fusion for Remote Sensing Applications - Chapter 10
Multitechnique Fusion of Imaging Data for Heterogeneous Materials - Chapter 11
A Directional-Edge-Based Face Detection Algorithm Adapted to the VLSI Image Recognition System - Chapter 12
Automatic Optical and Infrared Image Registration for Plant Water Stress Sensing
