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000923099 019__ $$a1125977700$$a1125990939$$a1126615683
000923099 020__ $$a9789811508530$$q(electronic book)
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000923099 0247_ $$a10.1007/978-981-15-0
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000923099 1001_ $$aChaki, Jyotismita,$$eauthor.
000923099 24510 $$aTexture feature extraction techniques for image recognition /$$cJyotismita Chaki, Nilanjan Dey.
000923099 264_1 $$aSingapore :$$bSpringer,$$c[2020].
000923099 300__ $$a1 online resource (xiv, 100 pages) :$$billustrations.
000923099 336__ $$atext$$btxt$$2rdacontent
000923099 337__ $$acomputer$$bc$$2rdamedia
000923099 338__ $$aonline resource$$bcr$$2rdacarrier
000923099 4901_ $$aSpringerBriefs in applied sciences and technology, Computational intelligence,$$x2625-3704
000923099 504__ $$aIncludes bibliographical references.
000923099 5050_ $$aIntroduction -- Statistical Texture Features -- Structural Texture Features -- Signal Processed Texture Features -- Model Based Texture Features -- Applications of Texture Features.
000923099 506__ $$aAccess limited to authorized users.
000923099 520__ $$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.
000923099 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 29, 2019).
000923099 650_0 $$aImage analysis.
000923099 650_0 $$aImage processing$$xDigital techniques.
000923099 7001_ $$aDey, Nilanjan,$$d1984-$$eauthor.
000923099 77608 $$iPrint version: $$z9811508526$$z9789811508523$$w(OCoLC)1119617373
000923099 830_0 $$aSpringerBriefs in applied sciences and technology.$$pComputational intelligence.
000923099 852__ $$bebk
000923099 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-0853-0$$zOnline Access$$91397441.1
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