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Topology of Digital Images: Visual Pattern Discovery in Proximity Spaces (Intelligent Systems Reference Library, 63) by James F. Peters (auth.) is a nonfiction available to read on EtoBox.

What is Topology of Digital Images: Visual Pattern Discovery in Proximity Spaces (Intelligent Systems Reference Library, 63) about?

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, d

Who reads Topology of Digital Images: Visual Pattern Discovery in Proximity Spaces (Intelligent Systems Reference Library, 63)?

Author

James F. Peters (auth.)

Publisher

Springer-Verlag Berlin Heidelberg

Published

2014

Language

EN

ISBN

9783642538452

Category

nonfiction

Subjects

Mathematics, Engineering, Science