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000696700 0167_ $$a016645378$$2Uk
000696700 020__ $$a9783642538452 $$qelectronic book
000696700 020__ $$a3642538452 $$qelectronic book
000696700 020__ $$z9783642538445
000696700 0247_ $$a10.1007/978-3-642-53845-2$$2doi
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000696700 050_4 $$aTA1634
000696700 08204 $$a006.3$$223
000696700 1001_ $$aPeters, James F.,$$eauthor.
000696700 24510 $$aTopology of digital images$$h[electronic resource] :$$bvisual pattern discovery in proximity spaces /$$cJames F. Peters.
000696700 264_1 $$aHeidelberg :$$bSpringer,$$c2014.
000696700 300__ $$a1 online resource (xvi, 411 pages) :$$billustrations (some color).
000696700 336__ $$atext$$btxt$$2rdacontent
000696700 337__ $$acomputer$$bc$$2rdamedia
000696700 338__ $$aonline resource$$bcr$$2rdacarrier
000696700 4901_ $$aIntelligent Systems Reference Library,$$x1868-4394 ;$$vvolume 63
000696700 504__ $$aIncludes bibliographical references and indexes.
000696700 5050_ $$aTopology of Digital Images: Basic Ingredients -- Structures Arising from Sets of Pixels -- Visualisations and Covers -- Linear Filtering and Visual Patterns in Images -- Edges, Lines, Ridges, and Nearness Structures -- Corners and Symmetric Proximity -- Separation of Image Regions and Set Patterns -- Descriptive Raster Spaces -- Component Analysis and Uniform Spaces -- Shapes and Shape Set Patterns -- Texture and Texture Set Patterns -- Pattern-Based Picture Classification -- Appendix: Matlab and Mathematica Scripts -- Notes and Further Readings.
000696700 506__ $$aAccess limited to authorized users.
000696700 520__ $$aThis book carries forward recent work on visual patterns and structures in digital images and introduces a near set-based a topology of digital images. Visual patterns arise naturally in digital images viewed as sets of non-abstract points endowed with some form of proximity (nearness) relation. Proximity relations make it possible to construct uniform topolo- gies on the sets of points that constitute a digital image. In keeping with an interest in gaining an understanding of digital images themselves as a rich source of patterns, this book introduces the basics of digital images from a computer vision perspective. In parallel with a computer vision perspective on digital images, this book also introduces the basics of prox- imity spaces. Not only the traditional view of spatial proximity relations but also the more recent descriptive proximity relations are considered. The beauty of the descriptive proximity approach is that it is possible to discover visual set patterns among sets that are non-overlapping and non- adjacent spatially. By combining the spatial proximity and descriptive< proximity approaches, the search for salient visual patterns in digital im- ages is enriched, deepened and broadened. A generous provision of Matlab and Mathematica scripts are used in this book to lay bare the fabric and essential features of digital images for those who are interested in finding visual patterns in images. The combination of computer vision techniques and topological methods lead to a deep understanding of images.
000696700 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed February 3, 2014).
000696700 650_0 $$aComputer vision$$xMathematics.
000696700 650_0 $$aPattern recognition systems.
000696700 650_0 $$aProximity spaces.
000696700 830_0 $$aIntelligent systems reference library ;$$vv.63.$$x1868-4394
000696700 85280 $$bebk$$hSpringerLink
000696700 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-642-53845-2$$zOnline Access
000696700 909CO $$ooai:library.usi.edu:696700$$pGLOBAL_SET
000696700 980__ $$aEBOOK
000696700 980__ $$aBIB
000696700 982__ $$aEbook
000696700 983__ $$aOnline
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