Image Processing in Optical Coherence Tomography using Matlab
by Robert Koprowski, Zygmunt Wrobel
Publisher: University of Silesia, 2011
Number of pages: 175
The book focuses on image processing in Optical Coherence Tomography (OCT) with the intention to demonstrate number of innovative approaches and solutions for challenging OCT images analysis. Presented algorithms and methods, implemented by means of Matlab environment, entirely rely on data derived from OCT instrument.
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by Hany Farid - Dartmouth College
Contents: Mathematical Foundations; Discrete-Time Signals and Systems; Linear Time-Invariant Systems; Sampling; Digital Filter Design; Photons to Pixels; Point-Wise Operations; Linear Filtering; Non-Linear Filtering; Multi-Scale Transforms; etc.
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 I. Young, J. Gerbrands, L. van Vliet - Delft University of Technology
The book focuses on the fundamental concepts of image processing. We will restrict ourselves to 2D image processing although most of the concepts and techniques that are to be described can be extended easily to three or more dimensions.
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.