Yufeng Zheng

University of Mississippi Medical Center United States of America

Yufeng Zheng received his Ph.D. degree in Optical Engineering/Image Processing from Tianjin University (Tianjin, China) in 1997. At the moment he is associated with Alcorn State University (Mississippi, USA) as an associate professor. Dr. Zheng serves as a program director of the Computer Network and Information Technology major, as well as the director of the Pattern Recognition and Image Analysis Lab. He is the principal investigator on three federal research grants in night vision enhancement, thermal face recognition, and multispectral face recognition. He was the Co-PI on a breast cancer detection research grant. Dr. Zheng holds two patents on glaucoma classification and face recognition, and has published one book, six book chapters, and more than 70 peer-reviewed papers. His research interests include biomedical imaging, pattern recognition, biometrics, information fusion, colorization, bio-inspired image analysis, and computer-aided diagnosis. Dr. Zheng is a Cisco Certified Network Professional (CCNP), a senior member of SPIE, a member of IEEE & Computer Society, as well as a technical reviewer.

Yufeng Zheng

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2chapters authored

Latest work with IntechOpen by Yufeng Zheng

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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