Livros sobre o tema "Textured images"

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1

Hung, Chih-Cheng, Enmin Song e Yihua Lan. Image Texture Analysis. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13773-1.

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2

Harris, David Earl. Texture analysis of skin cancer images. Ann Arbor, Mich: UMI, 1991.

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3

Les Fileuses de Velazquez: Textes, textures, images. Paris]: Fayard, 2018.

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4

Gimel’farb, Georgy L. Image Textures and Gibbs Random Fields. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4461-2.

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5

Gimel'farb, Georgy L. Image Textures and Gibbs Random Fields. Dordrecht: Springer Netherlands, 1999.

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6

Image textures and Gibbs random fields. Dordrecht: Kluwer Academic Publishers, 1999.

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7

Wood, E. J. Carpet texture measurement using image analysis. Christchurch: Wronz, 1987.

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8

Spann, Michael. Texture description and segmentation in image processing. Birmingham: University of Aston. Department of Electrical and Electronic Engineering, 1985.

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9

Chaki, Jyotismita, e Nilanjan Dey. Texture Feature Extraction Techniques for Image Recognition. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0853-0.

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10

Rand, Robert S. Texture analysis and cartographic feature extraction. Fort Belvoir, Va: U.S. Army Corps of Engineers, Engineer Topographic Laboratories, 1985.

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11

Korn, Christopher A. Markov random field textures and applications in image processing. Monterey, Calif: Naval Postgraduate School, 1997.

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12

National Institute of Standards and Technology (U.S.), ed. Singular integrals, image smoothness, and the recovery of texture in image deblurring. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2003.

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13

Anil, Phatak, Chatterji Gano e Ames Research Center, eds. Scene segmentation of natural images using texture measures and back-propagation. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1993.

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14

Angelika, Schober, ed. Textuel et visuel: Interconnexions entre textes et images satiriques. Brest: E.I.R.I.S., 1999.

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15

Linares-Herrera, Pedro. Texture analysis and classification on the characterization of ultrasonic images of the placenta. [S.l: The Author], 2004.

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16

Gelder, Allen Van. Direct volume rendering with shading via three-dimensional textures. [Washington, DC: National Aeronautics and Space Administration, 1996.

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17

Gelder, Allen Van. Direct volume rendering with shading via three-dimensional textures. [Washington, DC: National Aeronautics and Space Administration, 1996.

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18

Luttrell, Stephen P. A trainable texture anomaly detector using the adaptive cluster expansion (ACE) method. London: HMSO, 1990.

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19

Yoel, Gerardo. Bordes y texturas: Reflexiones sobre el número y la imagen. CABA [i.e. Ciudad Autónoma de Buenos Aires]: Imago Mundi, 2010.

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20

Universidad de Valencia. Departament de Filologia Anglesa i Alemanya., ed. Textures of the image: Rewriting the American novel in the contemporary film adaption. Valencia: Departament de Filologia Anglesa i Alemanya, Universitat de València, 2002.

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21

Haindl, Michal. Visual Texture: Accurate Material Appearance Measurement, Representation and Modeling. London: Springer London, 2013.

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22

Hughes, Aaron W. The texture of the divine: Imagination in medieval Islamic and Jewish thought. Bloomington: Indiana University Press, 2004.

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23

White, Jason. An investigation of the synthesis and application of solid textures in computer imagery. [London]: Middlesex Polytechnic, 1988.

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24

Marceau, Danielle. A review of image classification procedures with special emphasis on the grey-level cooccurrence matrix method for texture analysis. Waterloo, Ont: Earth-Observations Laboratory, Institute for Space and Terrestrial Science, Department of Geography, University of Waterloo, 1989.

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25

Martini, Nina. Das grosse Buch Webgrafik mit Fireworks ; [komplett in Farbe! ; Image-Maps, Texteffekte, Flyout-Menüs, Animationen, Texturen]. Düsseldorf: Data-Becker, 2000.

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26

M, Rangayyan Rangaraj, e Desautels J. E. Leo, eds. Analysis of oriented texture: With applications to the detection of architectural distortion in mammograms. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

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27

Eicken, Hajo. Quantifizierung von Meereiseigenschaften: Automatische Bildanalyse von Dünnschnitten und Parametrisierung von Chlorophyll- und Salzgehaltsverteilungen = Quantification of sea-ice properties : automated image analysis of thin sections and parametrization of chlorophyll and salinity distributions. Bremerhaven: Alfred-Wegener-Institut für Polar- und Meeresforschung, 1991.

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28

Eicken, Hajo. Quantifizierung von Meereiseigenschaften: Automatische Bildanalyse von D/umunnschnitten und Parametrisierung von Chlorophyll- und Salzgehaltsverteilungen = Quantification of sea-ice properties : automated image analysis of thin sections and parametrization of chlorophyll and salinity distributions. Bremerhaven: Olfred-Wegener-Institut f/umur Polar- und Meeresforschung, 1991.

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29

Digital image processing. 6a ed. Berlin: Springer, 2005.

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30

McAllister, Frances. A PC based image computing environment: The production of small scale texture using magnified bit map and colourpalette. [S.l: The author], 1993.

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31

Creative paint workshop for mixed-media artists: Experimental techniques for composition, layering, texture, imagery, and encaustic. Beverly: Quarry Books, 2009.

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32

Ann, Frazier, e Geological Survey (U.S.). National Mapping Division, eds. Land cover classification from SPOT multispectral and panchromatic images using neural network classification of fuzzy clustered spectral and textural features. [Reston, Va.]: U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1995.

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33

Lemeshewsky, George. Land cover classification from SPOT multispectral and panchromatic images using neural network classification of fuzzy clustered spectral and textural features. [Reston, VA]: U.S. Geological Survey, 1995.

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34

Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. Berlin: Springer-Verlag, 1991.

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35

Digital image processing: Concepts, algorithms, and scientific applications. 4a ed. Berlin: Springer, 1997.

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36

Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 3a ed. Berlin: Springer-Verlag, 1995.

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37

Jähne, Bernd. Digital image processing: Concepts, algorithms, and scientific applications. 2a ed. Berlin: Springer-Verlag, 1993.

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38

Bradbury, Theresa Ann. Textured imprints: Images, social change, and cultural memory. 1997.

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39

Shih, Naai-Jung. 3D Modeling From Images to Color-Textured RP. Naai-Jung Shih, 2002.

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40

Bryant-Mole, Karen. Images: Texture (Images). Heinemann Educational Books - Library Division, 1996.

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41

Bryant-Mole, Karen. Images: Texture (Images). Heinemann Educational Books - Library Division, 1996.

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42

Kamata, Sei-ichiro, e Maria M. P. Petrou. Image Processing: Dealing with Texture. Wiley & Sons, Limited, John, 2020.

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43

Noble, Andrea. Tina Modotti: Image, Texture, Photography. University of New Mexico Press, 2001.

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44

Petrou, Maria, e Pedro Garcia Sevilla. Image Processing: Dealing With Texture. Wiley, 2006.

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45

Sevilla, Pedro Garcia, e Maria M. P. Petrou. Image Processing: Dealing with Texture. Wiley & Sons, Limited, John, 2006.

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46

Image Processing: Dealing with Texture. Wiley & Sons, Incorporated, John, 2021.

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47

Kamata, Sei-ichiro, e Maria M. P. Petrou. Image Processing: Dealing with Texture. Wiley & Sons, Incorporated, John, 2021.

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48

Kamata, Sei-ichiro, e Maria M. P. Petrou. Image Processing: Dealing with Texture. Wiley & Sons, Incorporated, John, 2021.

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49

Texture and Colour in Image Analysis. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-1377-5.

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50

Sperling, George, Son-Hee Lyu, Chia-Huei Tseng e Zhong-Lin Lu. The Motion Standstill Illusion. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0078.

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Resumo:
In the motion standstill illusion, a pattern that is moving quite rapidly is perceived as being absolutely motionless, and yet its details are not blurred but clearly visible. The illusion can be observed in a wide variety of special moving stimuli that either disadvantage or fatigue the motion systems to the point where no motion is perceived but where the shape, texture, color, and depth systems are still able to function sufficiently to extract a stable image from the moving display. It demonstrates that visual processing systems for attributes such as shape, texture, color, and depth extract stable representations from moving images; only visual motion systems are capable of producing the sensation of motion.
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