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008			160419s2016 gw | s |||| 0|eng d
020			_a9783319302621
040			_aES-MaUEC
050		4	_aTA1637.5 _bP484 2016
082	0	4	_a006.3
100	1		_aPeters, James F. _998829 _0Local
245	1	0	_aComputational Proximity : _bExcursions in the Topology of Digital Images _cby James F Peters
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XXVIII, 433 páginas) _b254 ilustraciones, 39 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
490	0		_aIntelligent Systems Reference Library _x1868-4394 _v102
505	0		_aComputational Proximity -- Proximities Revisited -- Distance and Proximally Continuous.-Image Geometry and Nearness Expressions for Image and Scene Analysis -- Homotopic Maps, Shapes and Borsuk-Ulam Theorem -- Visibility, Hausdorffness, Algebra and Separation Spaces -- Strongly Near Sets and Overlapping Dirichlet Tessellation Regions -- Proximal Manifolds.-Watershed, Smirnov Measure, Fuzzy Proximity and Sorted Near Sets -- Strong Connectedness Revisited -- Helly�s Theorem and Strongly Proximal Helly Theorem -- Nerves and Strongly Near Nerves -- Connnectedness Patterns -- Nerve Patterns- Appendix A: Mathematica and Matlab Scripts -- Appendix B: Kuratowski Closure Axioms -- Appendix C: Sets. A Topological Perspective -- Appendix D: Basics of Proximities -- Appendix E: Set Theory Axioms, Operations and Symbols -- Appendix F: Topology of Digital Images.
520	3		_aThis book introduces computational proximity (CP) as an algorithmic approach to finding nonempty sets of points that are either close to each other or far apart. Typically in computational proximity, the book starts with some form of proximity space (topological space equipped with a proximity relation) that has an inherent geometry. In CP, two types of near sets are considered, namely, spatially near sets and descriptivelynear sets. It is shown that connectedness, boundedness, mesh nerves, convexity, shapes and shape theory are principal topics in the study of nearness and separation of physical aswell as abstract sets. CP has a hefty visual content. Applications of CP in computer vision, multimedia, brain activity, biology, social networks, and cosmology are included. The book has been derived from the lectures of the author in a graduate course on the topology of digital images taught over the past several years. Many of the students have provided important insights and valuable suggestions. The topics in this monograph introduce many forms of proximities with a computational flavour (especially, what has become known as the strong contact relation), many nuances of topological spaces, and point-free geometry.
650		7	_aProceso de imágenes _0comprobar BNE19900997218 _2embne _9669495
710	2		_aSpringerLink (Online service) _0Local _9106996
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-30262-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319302621
907			_a.b12949681 _b10-10-17 _c21-11-16
942			_2lcc _cLE
945			_aTA1637.5 P484 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11592898 _z06-04-17
988			_aEBOOK, asignarmaterias , EBSPRINGER
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0