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.

Dr. Yufeng Zheng

Yufeng Zheng received his Ph.D. degree in Digital Image Processing from the Tianjin University (Tianjin, China) in 1997. He is presently with the Alcorn State University (Mississippi, USA) as an assistant professor. Dr. Zheng serves as a program director of the Computer Networking and Information Technology Program, and a director of the Pattern Recognition and Image Analysis Lab. He is the principle investigator (PI) of two federal grants and the Co-PI of several grants. So far Dr. Zheng holds two patents in glaucoma classification and face recognition, and has published two book chapters and 35 scientific papers. His research interests focus on image analysis, pattern recognition, visual process modeling, biometrics, and computer-aided diagnosis.

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  • Image Fusion and Its Applications
    Image Fusion and Its Applications

    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.

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