000 | 03352nam a22005535i 4500 | ||
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001 | 978-3-319-48550-8 | ||
003 | DE-He213 | ||
005 | 20220801221921.0 | ||
007 | cr nn 008mamaa | ||
008 | 161122s2017 sz | s |||| 0|eng d | ||
020 |
_a9783319485508 _9978-3-319-48550-8 |
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024 | 7 |
_a10.1007/978-3-319-48550-8 _2doi |
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_aUYQ _2bicssc |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aOliva, Diego. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _958705 |
|
245 | 1 | 0 |
_aAdvances and Applications of Optimised Algorithms in Image Processing _h[electronic resource] / _cby Diego Oliva, Erik Cuevas. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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300 |
_aXIII, 178 p. 53 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aIntelligent Systems Reference Library, _x1868-4408 ; _v117 |
|
505 | 0 | _aAn introduction to machine learning -- Optimization -- Electromagnetism – Like Optimization Algorithm: An Introduction -- Digital image segmentation as an optimization problem -- Template matching using a physical inspired algorithm.-Detection of circular shapes in digital images -- A medical application: Blood cell segmentation by circle detection -- An EMO Improvement: Opposition-Based Electromagnetism-Like for Global Optimization. | |
520 | _aThis book presents a study of the use of optimization algorithms in complex image processing problems. The problems selected explore areas ranging from the theory of image segmentation to the detection of complex objects in medical images. Furthermore, the concepts of machine learning and optimization are analyzed to provide an overview of the application of these tools in image processing. The material has been compiled from a teaching perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, and can be used for courses on Artificial Intelligence, Advanced Image Processing, Computational Intelligence, etc. Likewise, the material can be useful for research from the evolutionary computation, artificial intelligence and image processing co. | ||
650 | 0 |
_aComputational intelligence. _97716 |
|
650 | 0 |
_aSignal processing. _94052 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aSignal, Speech and Image Processing . _931566 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
700 | 1 |
_aCuevas, Erik. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _958706 |
|
710 | 2 |
_aSpringerLink (Online service) _958707 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319485492 |
776 | 0 | 8 |
_iPrinted edition: _z9783319485515 |
776 | 0 | 8 |
_iPrinted edition: _z9783319839691 |
830 | 0 |
_aIntelligent Systems Reference Library, _x1868-4408 ; _v117 _958708 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-48550-8 |
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912 | _aZDB-2-SXE | ||
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