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E-raamat: Mathematical Morphology and Its Application to Signal and Image Processing: 9th International Symposium on Mathematical Morphology, ISMM 2009 Groningen, The Netherlands, August 24-27, 2009 Proceedings

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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 5720
  • Ilmumisaeg: 19-Aug-2009
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642036132
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Mathematical Morphology and Its Application to Signal and Image Processing: 9th International Symposium on Mathematical Morphology, ISMM 2009 Groningen, The Netherlands, August 24-27, 2009 ProceedingsSuurem pilt
  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 5720
  • Ilmumisaeg: 19-Aug-2009
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642036132
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The 9th ISMM conference covered a very diverse collection of papers, bound together by the central themes of mathematical morphology, namely, the tre- ment of images in terms of set and lattice theory. Notwithstanding this central theme, this ISMM showed increasing interaction with other ?elds of image and signal processing, and several hybrid methods were presented, which combine the strengths of traditional morphological methods with those of, for example, linear ?ltering.This trendis particularlystrong in the emerging eld of adaptive morphological ?ltering, where the local shape of structuring elements is det- mined by non-morphological techniques. This builds on previous developments of PDE-based methods in morphology and amoebas. In segmentation we see similar advancements, in the development of morphological active contours. Even within morphology itself, diversi cation is great, and many new areas of research are being opened up. In particular, morphology of graph-based and complex-based image representations are being explored. Likewise, in the we- established area of connected ?ltering we ?nd new theory and new algorithms, but also expansion into the direction of hyperconnected ?lters. New advances in morphological machine learning, multi-valued and fuzzy morphology are also presented. Notwithstanding the often highly theoretical reputation of mathematical morphology, practitioners in this ?eld have always had an eye for the practical.

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Mathematical Morphology and its Applications to Signal and Image Processing, edited by M.H.F. Wilkinson and J.B.T.M. Roerdink forms vol. 5720 of Springers Lecture Notes in Computer Science . if you hope to keep up with mathematical morphology, you will have to read this book. (Ultramicroscopy, Vol. 110, 2010)

Invited Speaker.- Discrete Driver Assistance.- Theory.- The False
Colour Problem.- Bipolar Fuzzy Mathematical Morphology for Spatial
Reasoning.- An Axiomatic Approach to Hyperconnectivity.- Hyperconnectivity,
Attribute-Space Connectivity and Path Openings: Theoretical Relationships.-
Connectivity and Connected Filters.- Constrained Connectivity and Transition
Regions.- Surface-Area-Based Attribute Filtering in 3D.- Levelings and
Geodesic Reconstructions.- A Comparison of Spatial Pattern Spectra.- Adaptive
Morphology.- Differential Equations for Morphological Amoebas.-
Spatially-Variant Anisotropic Morphological Filters Driven by Gradient
Fields.- 3-D Extraction of Fibres from Microtomographic Images of
Fibre-Reinforced Composite Materials.- Spatially-Variant Morpho-Hessian
Filter: Efficient Implementation and Application.- Graphs and Topology.- Some
Morphological Operators in Graph Spaces.- Morphology on Graphs and Minimum
Spanning Trees.- Segmentation.- Segmentation of Complex Images Based on
Component-Trees: Methodological Tools.- Ultrametric Watersheds.- An Efficient
Morphological Active Surface Model for Volumetric Image Segmentation.-
Shape.- Ultimate Attribute Opening Segmentation with Shape Information.-
Hierarchical Shape Decomposition via Level Sets.- Morphological Exploration
of Shape Spaces.- Morphology of Multi-valued Images.- From Scalar-Valued
Images to Hypercomplex Representations and Derived Total Orderings for
Morphological Operators.- A Directional Rouy-Tourin Scheme for Adaptive
Matrix-Valued Morphology.- Component-Trees and Multi-value Images: A
Comparative Study.- Algorithms.- Fast Implementation of the Ultimate
Opening.- Stack Filter Classifiers.- Milena: Write Generic Morphological
Algorithms Once, Run on Many Kinds of Images.- An EfficientAlgorithm for
Computing Multi-scale Connectivity Measures.
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