Abstract
This text deals with digital image analysis, probabilistic modelling and statistical inference. It focuses on the extraction of information implicit in recorded image data, and their interpretation. It is not especially concerned with image processing, which encompasses fields like image digitization, enhancement and restoration, encoding, segmentation, representation and description; we refer the reader to standard texts like W.R. PRATT (1991), B.K.P. HORN (1987), R.C. GONZALEZ and P. WINTZ (1999) or R.M. HARALICK and L.G. SHAPIRO (1992).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Winkler, G. (2003). Introduction. In: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods. Applications of Mathematics, vol 27. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55760-6_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-55760-6_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-62911-2
Online ISBN: 978-3-642-55760-6
eBook Packages: Springer Book Archive