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710	2		_aSpringerLink (Online service) _9106996
999			_c110747 _d110747 _x1
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005			20230102113436.0
008			180919s2019 gw a o |||| 0|eng d
020			_a9783319960029
024	7		_a10.1007/978-3-319-96002-9 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aQA76.9 .N37 _b2019 EB
245	0	0	_aNature Inspired Optimization Techniques for Image Processing Applications _cJude Hemanth, Valentina Emilia Balas, editors
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XIV, 297 páginas) _b130 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
490	0		_aIntelligent Systems Reference Library _x1868-4394 _v150
505	0		_aFirefly Optimization Based Improved Fuzzy Clustering for CT/MR Image Segmentation -- Bat Optimization based Vector Quantization Algorithm for Medical Image Compression -- An Assertive Framework for Automatic Tamil Sign Language Recognition System using Computational Intelligence -- Improved detection of steganographic algorithms in spatial LSB stego images using hybrid GRASP-BGWO optimisation -- Nature inspired optimization techniques for Image Processing - A short review -- Application of Ant Colony Optimization for Enhancement of Visual Cryptography Images -- Plant phenotyping through Image analysis using nature inspired optimization techniques -- Cuckoo Optimization Algorithm (COA) for image processing -- Artificial Bee Colony Based Feature Selection for Automatic Skin Disease Identification of Mango Fruit -- Analyzing the Effect of Optimization Strategies in Deep Convolutional Neural Network -- A Novel Underwater Image Enhancement Approach with Wavelet Transform Supported by Differential Evolution Algorithm -- Feature Selection in Fetal Biometrics for Abnormality Detection in Ultrasound Images.
520	3		_aThis book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. These accuracy and complexity are a major area of concern when it comes to practical applications. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.
988			_aPrimersemestre_2019_Engineering
650		7	_2embne _aProceso en lenguaje natural (Informática) _9158738
650		7	_2embne _9669495 _aProceso de imágenes
650		7	_2embne _9145705 _aOptimización matemática
700	1		_aBalas, Valentina Emilia _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _996925
700	1		_aHemanth, Jude. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030071264
776	0	8	_iPrinted edition: _z9783319960012
776	0	8	_iPrinted edition: _z9783319960036
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-96002-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b09/2019 _eel _zSI