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).
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© 2003 Springer-Verlag Berlin Heidelberg
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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
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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
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