1.

Record Nr.

UNINA9910768166703321

Autore

Caselles Vicent <1960->

Titolo

Geometric description of images as topographic maps / / Vicent Caselles, Pascal Monasse

Pubbl/distr/stampa

Heidelberg, : Springer, c2010

ISBN

9786613569516

9781280391590

1280391596

9783642046117

3642046118

Edizione

[1st ed. 2010.]

Descrizione fisica

1 online resource (XVII, 192 p.)

Collana

Lecture notes in mathematics, , 0075-8434 ; ; 1984

Classificazione

68U1094A0805C05

Altri autori (Persone)

MonassePascal

Disciplina

003.54

Soggetti

Image processing - Mathematical models

Geometric analysis

Topographic maps

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

The Tree of Shapes of an Image -- Grain Filters -- A Topological Description of the Topographic Map -- Merging the Component Trees -- Computation of the Tree of Shapes of a Digital Image -- Computation of the Tree of Bilinear Level Lines -- Applications.

Sommario/riassunto

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.