000 | 04248nam a22005655i 4500 | ||
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001 | 978-3-319-53994-2 | ||
003 | DE-He213 | ||
005 | 20220801222444.0 | ||
007 | cr nn 008mamaa | ||
008 | 170306s2017 sz | s |||| 0|eng d | ||
020 |
_a9783319539942 _9978-3-319-53994-2 |
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024 | 7 |
_a10.1007/978-3-319-53994-2 _2doi |
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050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aTEC009000 _2bisacsh |
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072 | 7 |
_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aGonzalez, Claudia I. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _961579 |
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245 | 1 | 0 |
_aEdge Detection Methods Based on Generalized Type-2 Fuzzy Logic _h[electronic resource] / _cby Claudia I. Gonzalez, Patricia Melin, Juan R. Castro, Oscar Castillo. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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300 |
_aX, 89 p. 34 illus., 21 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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490 | 1 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 |
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505 | 0 | _aIntroduction -- Generalized Type-2 Fuzzy Logic -- Edge Detection Methods and Filters Used on Digital Image Processing -- Metrics for Edge Detection Methods -- Edge Detection Methods Based on Generalized Type-2 Fuzzy Logic Systems -- Generalized Type-2 Fuzzy Edge Detection Applied on a Face Recognition System -- Experimentation and Results Discussion -- Conclusions. | |
520 | _aIn this book four new methods are proposed. In the first method the generalized type-2 fuzzy logic is combined with the morphological gra-dient technique. The second method combines the general type-2 fuzzy systems (GT2 FSs) and the Sobel operator; in the third approach the me-thodology based on Sobel operator and GT2 FSs is improved to be applied on color images. In the fourth approach, we proposed a novel edge detec-tion method where, a digital image is converted a generalized type-2 fuzzy image. In this book it is also included a comparative study of type-1, inter-val type-2 and generalized type-2 fuzzy systems as tools to enhance edge detection in digital images when used in conjunction with the morphologi-cal gradient and the Sobel operator. The proposed generalized type-2 fuzzy edge detection methods were tested with benchmark images and synthetic images, in a grayscale and color format. Another contribution in this book is that the generalized type-2 fuzzy edge detector method is applied in the preprocessing phase of a face rec-ognition system; where the recognition system is based on a monolithic neural network. The aim of this part of the book is to show the advantage of using a generalized type-2 fuzzy edge detector in pattern recognition applications. The main goal of using generalized type-2 fuzzy logic in edge detec-tion applications is to provide them with the ability to handle uncertainty in processing real world images; otherwise, to demonstrate that a GT2 FS has a better performance than the edge detection methods based on type-1 and type-2 fuzzy logic systems. | ||
650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aPattern recognition systems. _93953 |
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650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
700 | 1 |
_aMelin, Patricia. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _961580 |
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700 | 1 |
_aCastro, Juan R. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _961581 |
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700 | 1 |
_aCastillo, Oscar. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _961582 |
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710 | 2 |
_aSpringerLink (Online service) _961583 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319539935 |
776 | 0 | 8 |
_iPrinted edition: _z9783319539959 |
830 | 0 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 _961584 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-53994-2 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
_c80786 _d80786 |