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Books on the topic 'Textured images'

Author: Grafiati

Published: 1 June 2024

Last updated: 31 July 2025

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1

Hung, Chih-Cheng, Enmin Song, and Yihua Lan. Image Texture Analysis. 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. UMI, 1991.

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3

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

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4

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

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5

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

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6

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

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7

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

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8

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

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9

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

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10

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

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11

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

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12

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

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13

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

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14

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

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15

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

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16

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

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17

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

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18

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

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19

M, Rangayyan Rangaraj, and Desautels J. E. Leo, eds. Analysis of oriented texture: With applications to the detection of architectural distortion in mammograms. Morgan & Claypool, 2011.

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20

Ibn Ezra, Abraham ben Meïr, 1092-1167., ed. The texture of the divine: Imagination in medieval Islamic and Jewish thought. Indiana University Press, 2004.

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21

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

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22

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. Alfred-Wegener-Institut für Polar- und Meeresforschung, 1991.

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23

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. Olfred-Wegener-Institut f/umur Polar- und Meeresforschung, 1991.

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24

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

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25

Ann, Frazier, and 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. U.S. Dept. of the Interior, U.S. Geological Survey, National Mapping Division, 1995.

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26

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

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27

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

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28

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

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29

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

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30

Ploton, Pierre. Analyzing canopy heterogeneity of the tropical forests by texture analysis of very-high resolution images: A case study in the Western Ghats of India. Institut français de Pondichéry, 2010.

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31

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

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32

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

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33

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

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34

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

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35

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

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36

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

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37

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

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38

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

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39

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

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40

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

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41

Image Processing: Dealing With Texture. Wiley, 2006.

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42

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

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43

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

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44

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

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45

Sperling, George, Son-Hee Lyu, Chia-Huei Tseng, and 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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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 extra

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46

Fleming, Roland W., and Daniel Holtmann-Rice. “Shape From Smear”. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199794607.003.0017.

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Of the many mysteries of sensory perception, one of the greatest is surely our ability to see in three dimensions. While the world is 3D, the retinal images are 2D: So how does the brain work out the extra dimension? Under ordinary conditions, viewing the world with two eyes provides rich sources of information for inferring depths. However, we are also very good at working out 3D shape even from single, static photographs of objects. This chapter presents a novel illusion in which 2D patterns appear vividly 3D, revealing specific image information that the brain uses for inferring 3D shape, b

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47

Depeursinge, Adrien, J. Ross Mitchell, and Omar S. Al Kadi. Biomedical Texture Analysis: Fundamentals, Tools and Challenges. Elsevier Science & Technology Books, 2017.

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48

Depeursinge, Adrien, Omar Al-Kadi, and J. Ross Mitchell. Biomedical Texture Analysis: Fundamentals, Tools and Challenges. Elsevier Science & Technology Books, 2017.

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49

University of Aston in Birmingham, ed. Texture description and segmentation in image processing. 1985.

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50

Dey, Nilanjan, and Jyotismita Chaki. Texture Feature Extraction Techniques for Image Recognition. Springer, 2019.

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