Bienvenue chez nous !
Logo Ex Libris
 Laissez-vous inspirer ! 

Topology of Digital Images

  • Couverture cartonnée
  • 428 Nombre de pages
(0) Donner la première évaluation
Évaluations
(0)
(0)
(0)
(0)
(0)
Afficher toutes les évaluations
This book introduces the basics of digital images from a computer vision perspective, as well as the basics of proximity spaces, c... Lire la suite
CHF 179.00
Impression sur demande - Habituellement expédié sous 4 à 6 semaines.
Commande avec livraison dans une succursale

Description

This book introduces the basics of digital images from a computer vision perspective, as well as the basics of proximity spaces, considering not only a traditional view of spatial proximity relations but also the more recent descriptive proximity relations.

This book carries forward recent work on visual patterns and structures in digital images and introduces a near set-based a topology of digital images. Visual patterns arise naturally in digital images viewed as sets of non-abstract points endowed with some form of proximity (nearness) relation. Proximity relations make it possible to construct uniform topologies on the sets of points that constitute a digital image. In keeping with an interest in gaining an understanding of digital images themselves as a rich source of patterns, this book introduces the basics of digital images from a computer vision perspective. In parallel with a computer vision perspective on digital images, this book also introduces the basics of proximity spaces. Not only the traditional view of spatial proximity relations but also the more recent descriptive proximity relations are considered. The beauty of the descriptive proximity approach is that it is possible to discover visual set patterns among sets that are non-overlapping and non-adjacent spatially. By combining the spatial proximity and descriptive proximity approaches, the search for salient visual patterns in digital images is enriched, deepened and broadened. A generous provision of Matlab and Mathematica scripts are used in this book to lay bare the fabric and essential features of digital images for those who are interested in finding visual patterns in images. The combination of computer vision techniques and topological methods lead to a deep understanding of images.


From the reviews:

This book presents the recent research results of visual patterns in proximity spaces in a very easy to follow way. a research exposition for mathematicians, computer scientists, engineers and for all who want to familiarize with the recent research in this field. It can be also treated as the textbook for students and for all who want to deeply understand images through their topology. It can be used for a self studying and as a course book as well. (Agnieszka Lisowska, zbMATH, Vol. 1295, 2014)

Texte du rabat

This book carries forward recent work on visual patterns and structures

in digital images and introduces a near set-based a topology of digital

images. Visual patterns arise naturally in digital images viewed as sets

of non-abstract points endowed with some form of proximity (nearness)

relation. Proximity relations make it possible to construct uniform topolo-

gies on the sets of points that constitute a digital image. In keeping with

an interest in gaining an understanding of digital images themselves as a

rich source of patterns, this book introduces the basics of digital images

from a computer vision perspective. In parallel with a computer vision

perspective on digital images, this book also introduces the basics of prox-

imity spaces. Not only the traditional view of spatial proximity relations

but also the more recent descriptive proximity relations are considered.

The beauty of the descriptive proximity approach is that it is possible to

discover visual set patterns among sets that are non-overlapping and non-

adjacent spatially. By combining the spatial proximity and descriptive<

proximity approaches, the search for salient visual patterns in digital im-

ages is enriched, deepened and broadened. A generous provision of Matlab

and Mathematica scripts are used in this book to lay bare the fabric and

essential features of digital images for those who are interested in finding

visual patterns in images. The combination of computer vision techniques

and topological methods lead to a deep understanding of images.



Contenu
Preface.-
1 Topology of Digital Images: Basic Ingredients.-
2 Structures Arising from Sets of Pixels.-
3 Visualisations and Covers.-
4 Linear Filtering and Visual Patterns in Images.-
5 Edges, Lines, Ridges, and Nearness Structures.-
6 Corners and Symmetric Proximity.-
7 Separation of Image Regions and Set Patterns.-
8 Descriptive Raster Spaces.-
9 Component Analysis and Uniform Spaces.-
10 Shapes and Shape Set Patterns.-
11 Texture and Texture Set Patterns.-
12 Pattern-Based Picture Classification.-
13 Appendix: Matlab and Mathematica Scripts.-
14 Notes and Further Readings.

Informations sur le produit

Titre: Topology of Digital Images
Auteur:
Code EAN: 9783662522509
ISBN: 3662522500
Format: Couverture cartonnée
Editeur: Springer Berlin Heidelberg
Genre: Généralités et lexiques
nombre de pages: 428
Poids: 645g
Taille: H235mm x B155mm x T22mm
Année: 2016
Auflage: Softcover reprint of the original 1st ed. 2014

Autres articles de cette série  "Intelligent Systems Reference Library"