| 000 | 03063nam a22003857a 4500 | ||
|---|---|---|---|
| 001 | sulbI000810 | ||
| 003 | BD-SySUS | ||
| 005 | 20160522142849.0 | ||
| 008 | 160522s2014 gw a b 001 0 eng d | ||
| 020 |
_a3642538444 _q(hbk.) |
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| 020 |
_a9783642538445 _q(hbk.) |
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| 020 |
_z9783642538452 _q(ebk.) |
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| 040 |
_aCDX _beng _cCDX _erda _dBTCTA _dYDXCP _dCIT _dOHX _dOCLCF _dOCLCQ _dDLC _dBD-SySUS |
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| 082 |
_222 _a574.012 _bPET |
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| 100 | 1 |
_aPeters, James F., _eauthor. _924454 |
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| 245 | 1 | 0 |
_aTopology of digital images : _bvisual pattern discovery in proximity spaces / _cJames F. Peters. |
| 260 |
_aLondon : _bSpringer. _cc2014. |
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| 300 |
_axv, 411 pages : _billustrations (chiefly color) ; _c24 cm |
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| 490 | 1 |
_aIntelligent systems reference library, _x1868-4394 ; |
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| 504 | _aIncludes bibliographical references (pages 383-397) and index. | ||
| 520 | _a"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."-- | ||
| 650 | 0 |
_aComputer vision. _916062 |
|
| 650 | 0 |
_aDigital images. _924455 |
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| 650 | 0 |
_aPattern recognition systems. _924456 |
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| 650 | 0 |
_aProximity spaces. _924457 |
|
| 650 | 0 |
_aTopology. _924458 |
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| 650 | 7 |
_aComputer vision. _2fast _916062 |
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| 650 | 7 |
_aDigital images. _2fast _924455 |
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| 650 | 7 |
_aPattern recognition systems. _2fast _924456 |
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| 650 | 7 |
_aProximity spaces. _2fast _924457 |
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| 650 | 7 |
_aTopology. _2fast _924458 |
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| 856 | 4 | 2 |
_3Publisher description _uhttp://www.loc.gov/catdir/enhancements/fy1607/2013956647-d.html |
| 856 | 4 | 1 |
_3Table of contents only _uhttp://www.loc.gov/catdir/enhancements/fy1607/2013956647-t.html |
| 942 |
_2ddc _cBK |
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| 999 |
_c60583 _d60583 |
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