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020 _a9789811508530
024 7 _a10.1007/978-981-15-0853-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTA1654
_b2020 EB
100 1 _aChaki, Jyotismita
_eautor
_9672560
245 1 0 _aTexture Feature Extraction Techniques for Image Recognition
_cby Jyotismita Chaki, Nilanjan Dey.
250 _a1st ed. 2020.
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (XIV, 100 páginas)
_b 75 ilustraciones, 12 ilustraciones a color.
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aSpringerBriefs in Computational Intelligence
_x2625-3704
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aIntroduction -- Statistical Texture Features -- Structural Texture Features -- Signal Processed Texture Features -- Model Based Texture Features -- Applications of Texture Features.
520 3 _aThe book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_aFotónica
_9150920
700 1 _aDey, Nilanjan,
_d1984-
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_998032
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789811508523
776 0 8 _iPrinted edition:
_z9789811508547
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-15-0853-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_ek
_zSI