Gaussian Scale-Space Theory
By: edited by Jon Sporring, Mads Nielsen, Luc Florack, Peter Johansen
Contributors: Nielsen, Mads; Florack, Luc; Johansen, Peter
Series: Computational Imaging and Vision -- 8; Computational Imaging and Vision -- 8
Publisher: Springer Netherlands
Published: 1997
Place of publication: Dordrecht
Language: eng
Format: [electronic resource] /
Number of pages: 265
ISBN-13: 9789048148523; 9789401588027
Subjects: Computer vision; Computer science; Remote sensing; Global differential geometry; Global analysis (Mathematics); Medical Radiology
Description: This book covers Gaussian scale-space theory from its applications to its mathematical foundation. The reader not so familiar with scale-space will find it instructive to first consider some potential applications described in Part I. The next two parts both address fundamental aspects of scale-space. Whereas scale is treated as an essentially arbitrary constant in Part II, Part III emphasises the deep structure, i.e. the structure that is revealed by varying scale. Finally Part IV is devoted to non-linear extensions, notably non-linear diffusion techniques and morphological scale-spaces, and their relation to the linear case. Audience: This volume is addressed to researchers in the field of image analysis seeking mathematical foundation of algorithms.
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