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150528 ||| eng |
| 020 |
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|a 9780128020920
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| 020 |
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|a 012802092X
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| 020 |
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|a 9780128020456
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| 020 |
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|a 0128020458
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| 100 |
1 |
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|a Deligiannidis, Leonidas
|e [editor]
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| 245 |
0 |
0 |
|a Emerging trends in image processing, computer vision and pattern recognition
|h Elektronische Ressource
|c edited by Leonidas Deligiannidis, Hamid Arabnia
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| 260 |
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|a Amsterdam
|b Morgan Kaufmann
|c 2015, [2015]©2015
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| 300 |
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|a online resource
|b illustrations (some color)
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| 505 |
0 |
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|a Includes bibliographical references and index
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| 653 |
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|a Image processing / Digital techniques
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| 653 |
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|a Computer vision
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| 653 |
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|a Optical pattern recognition
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| 653 |
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|a COMPUTERS / General / bisacsh
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| 653 |
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|a Computer vision / fast / (OCoLC)fst00872687
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| 653 |
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|a Image processing / Digital techniques / fast / (OCoLC)fst00967508
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| 653 |
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|a Optical pattern recognition / fast / (OCoLC)fst01046784
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| 700 |
1 |
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|a Arabnia, Hamid
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b ESD
|a Elsevier ScienceDirect eBooks
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| 490 |
0 |
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|a Emerging trends in computer science and applied computing
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| 856 |
4 |
0 |
|u http://www.sciencedirect.com/science/book/9780128020456
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.42
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| 520 |
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|a This book discusses the latest trends in imaging science, which at its core, consists of three intertwined computer science fields: image processing, computer vision, and pattern recognition. Drawing upon the knowledge of recognized experts with years of practical experience and discussing new applications, editors, Deligiannidis and Arabnia cover: perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation; application techniques in computer vision; pattern recognition algorithms including, but not limited to; supervised and unsupervised classification algorithms, ensemble learning algorithms, and parsing algorithms; how to use image processing and visualization to analyze big data. --
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