Identificacion Principal del registro INGC-EBK-000725

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160920094859

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 140128s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783642538452

a Standard number or code 10.1007/978-3-642-53845-2

a Personal name Peters, James F.

a Title Topology of Digital Images

h Medium [libro electrónico] : ;

b Remainder of title Visual Pattern Discovery in Proximity Spaces /

c Statement of responsibility, etc by James F. Peters.

a Place of publication, distribution, etc Berlin, Heidelberg :

b Name of publisher, distributor, etc Springer Berlin Heidelberg :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent xvi, 411 p. :

b Other physical details il.

a Series statement Intelligent Systems Reference Library,

x International Standard Serial Number 1868-4394 ;

v Volume number/sequential designation 63

a Formatted contents note 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.

a Summary, etc 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.

a Topical term or geographic name as entry element Image processing.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Computational Intelligence.

a Topical term or geographic name as entry element Computer Vision.

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-642-53845-2

c item type EBK

a descripción COM