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Geometric description of images as topographic maps

This volume discusses the basic geometric contents of an image and presents a tree data structure to handle those contents efficiently. The nodes of the tree are derived from connected components of level sets of the intensity, while the edges represent inclusion information. Grain filters, morpholo...

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Detalles Bibliográficos
Autores principales: Caselles, Vicent, Monasse, Pascal
Lenguaje:eng
Publicado: Springer 2010
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-04611-7
http://cds.cern.ch/record/1691751
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author Caselles, Vicent
Monasse, Pascal
author_facet Caselles, Vicent
Monasse, Pascal
author_sort Caselles, Vicent
collection CERN
description This volume discusses the basic geometric contents of an image and presents a tree data structure to handle those contents efficiently. The nodes of the tree are derived from connected components of level sets of the intensity, while the edges represent inclusion information. Grain filters, morphological operators simplifying these geometric contents, are analyzed and several applications to image comparison and registration, and to edge and corner detection, are presented. The mathematically inclined reader may be most interested in Chapters 2 to 6, which generalize the topological Morse description to continuous or semicontinuous functions, while mathematical morphologists may more closely consider grain filters in Chapter 3. Computer scientists will find algorithmic considerations in Chapters 6 and 7, the full justification of which may be found in Chapters 2 and 4 respectively. Lastly, all readers can learn more about the motivation for this work in the image processing applications presented in Chapter 8.
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spelling cern-16917512021-04-21T21:07:22Zdoi:10.1007/978-3-642-04611-7http://cds.cern.ch/record/1691751engCaselles, VicentMonasse, PascalGeometric description of images as topographic mapsMathematical Physics and MathematicsThis volume discusses the basic geometric contents of an image and presents a tree data structure to handle those contents efficiently. The nodes of the tree are derived from connected components of level sets of the intensity, while the edges represent inclusion information. Grain filters, morphological operators simplifying these geometric contents, are analyzed and several applications to image comparison and registration, and to edge and corner detection, are presented. The mathematically inclined reader may be most interested in Chapters 2 to 6, which generalize the topological Morse description to continuous or semicontinuous functions, while mathematical morphologists may more closely consider grain filters in Chapter 3. Computer scientists will find algorithmic considerations in Chapters 6 and 7, the full justification of which may be found in Chapters 2 and 4 respectively. Lastly, all readers can learn more about the motivation for this work in the image processing applications presented in Chapter 8.Springeroai:cds.cern.ch:16917512010
spellingShingle Mathematical Physics and Mathematics
Caselles, Vicent
Monasse, Pascal
Geometric description of images as topographic maps
title Geometric description of images as topographic maps
title_full Geometric description of images as topographic maps
title_fullStr Geometric description of images as topographic maps
title_full_unstemmed Geometric description of images as topographic maps
title_short Geometric description of images as topographic maps
title_sort geometric description of images as topographic maps
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-642-04611-7
http://cds.cern.ch/record/1691751
work_keys_str_mv AT casellesvicent geometricdescriptionofimagesastopographicmaps
AT monassepascal geometricdescriptionofimagesastopographicmaps