Digital Image Processing
by Stefan G. Stanciu
Publisher: InTech 2012
Number of pages: 200
This book presents several recent advances that are related or fall under the umbrella of 'digital image processing', with the purpose of providing an insight into the possibilities offered by digital image processing algorithms in various fields. The presented mathematical algorithms are accompanied by graphical representations and illustrative examples for an enhanced readability.
Home page url
Download or read it online for free here:
by Yufeng Zheng - InTech
The book provides an overview of basic image fusion techniques and an introduction to image fusion applications in various fields. The book is useful for researchers to capture recent developments and to spark new ideas in image fusion domain.
by J. Starck, F.D. Murtagh, A. Bijaoui - Cambridge University Press
An introduction to a range of image-processing techniques with practical examples of applications in electrical engineering, astronomy, physics, and medical imaging. A guide to exciting data-analysis techniques for students and researchers.
by Huiyu Zhou, Jiahua Wu, Jianguo Zhang - BookBoon
This book introduces the fundamental theories of modern digital image processing including intensity transformations, filtering in the frequency and spatial domain, restoration, colour processing, morphological operations, and segmentation.
by Robert Koprowski, Zygmunt Wrobel - University of Silesia,
The book focuses on image processing in Optical Coherence Tomography with the intention to demonstrate innovative approaches and solutions for challenging OCT images analysis. Presented algorithms entirely rely on data derived from OCT instrument.