| 000 | 03592nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-77625-5 | ||
| 003 | DE-He213 | ||
| 005 | 20210201191402.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180730s2018 gw | s |||| 0|eng d | ||
| 020 |
_a9783319776255 _9978-3-319-77625-5 |
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| 050 | 4 | _aQ334-342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aCOM004000 _2bisacsh |
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| 072 | 7 |
_aUYQ _2thema |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 245 | 1 | 0 |
_aHybrid Metaheuristics for Image Analysis _h[electronic resource] / _cedited by Siddhartha Bhattacharyya. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
| 300 |
_aXII, 256 p. 100 illus., 50 illus. in color. _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 |
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| 500 | _aAcceso multiusuario | ||
| 505 | 0 | _aCurrent and Future Trends in Segmenting Satellite Images Using Hybrid and Dynamic Genetic Algorithms -- A Hybrid Metaheuristic Algorithm Based on Quantum Genetic Computing for Image Segmentation -- Genetic Algorithm Implementation to Optimize the Hybridization of Feature Extraction and Metaheuristic Classifiers -- Optimization of a HMM-Based Hand Gesture Recognition System Using a Hybrid Cuckoo Search Algorithm -- Satellite Image Contrast Enhancement Using Fuzzy Termite Colony Optimization -- Image Segmentation Using Metaheuristic-Based DeformableModels -- Hybridization of the Univariate Marginal Distribution Algorithm with Simulated Annealing for Parametric Parabola Detection -- Image Thresholding Based on Fuzzy Particle Swarm Optimization -- Hybrid Metaheuristics Applied to Image Reconstruction for an Electrical Impedance Tomography Prototype. | |
| 520 | _aThis book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization. The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology. | ||
| 541 |
_fUABC ; _cTemporal ; _d01/01/2021-12/31/2023. |
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| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aComputational intelligence. | |
| 650 | 0 | _aOptical data processing. | |
| 650 | 1 | 4 |
_aArtificial Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/I21000 |
| 650 | 2 | 4 |
_aComputational Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/T11014 |
| 650 | 2 | 4 |
_aComputer Imaging, Vision, Pattern Recognition and Graphics. _0https://scigraph.springernature.com/ontologies/product-market-codes/I22005 |
| 700 | 1 |
_aBhattacharyya, Siddhartha. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319776248 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319776262 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030084974 |
| 856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-77625-5 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cLIBRO_ELEC | ||
| 999 |
_c242881 _d242880 |
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