Relevant bibliographies by topics / Texture description

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Texture description'

Author: Grafiati
Published: 11 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Texture description"

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Reynolds, Craig. "Interactive Evolution of Camouflage." Artificial Life 17, no. 2 (2011): 123–36. http://dx.doi.org/10.1162/artl_a_00023.

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This article presents an abstract computation model of the evolution of camouflage in nature. The 2D model uses evolved textures for prey, a background texture representing the environment, and a visual predator. A human observer, acting as the predator, is shown a cohort of 10 evolved textures overlaid on the background texture. The observer clicks on the five most conspicuous prey to remove (“eat”) them. These lower-fitness textures are removed from the population and replaced with newly bred textures. Biological morphogenesis is represented in this model by procedural texture synthesis. Nes
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Eschner, Th, and J. J. Fundenberger. "Application of Anisotropic Texture Components." Textures and Microstructures 28, no. 3-4 (1997): 181–95. http://dx.doi.org/10.1155/tsm.28.181.

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The description of textures in terms of texture components is an established conception in quantitative texture analysis. Recent developments lead to the representation of orientation distribution functions as a weighted sum of model functions, each corresponding to one anisotropic texture component. As was shown previously, an adequate texture description is possible with only a very small number of anisotropic texture components. As a result, textures and texture changes can be described by a small number of vivid parameters and their variations, namely by volume parts, half widths and ideal
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Khan, Fahad Shahbaz, Rao Muhammad Anwer, Joost van de Weijer, Michael Felsberg, and Jorma Laaksonen. "Compact color–texture description for texture classification." Pattern Recognition Letters 51 (January 2015): 16–22. http://dx.doi.org/10.1016/j.patrec.2014.07.020.

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Berezina, S. I., Yu O. Gordienko, and O. I. Solonets. "ANALYSIS OF WAYS OF SOLVING THE SEGMENTATION PROBLEM FOR HIGHLY TEXTURED OBJECTS." Проблеми створення, випробування, застосування та експлуатації складних інформаційних систем, no. 17 (December 30, 2019): 27–40. http://dx.doi.org/10.46972/2076-1546.2019.17.03.

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Increment of speed and reliability of aerospace images processing is directly related to solution of the task of automation of images interpretation process, which is achieved by minimizing search areas, detecting masked objects and defining the dynamics of changes in surveillance areas. The primary stage that in general determines the quality of results received by automated processing and interpretation is thematic segmentation of the image. In the process of thematic segmentation it is necessary to take into account presence of a large number of textured objects. The paper analyzes the ways
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Delannay, L., P. Van Houtte, and A. Van Bael. "New Parameter Model for Texture Description in Steel Sheets." Textures and Microstructures 31, no. 3 (1999): 151–75. http://dx.doi.org/10.1155/tsm.31.151.

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A new model is proposed for the characterisation of steel sheet textures. This model relies on the identification of 25 relevant parameters in the Orientation Distribution Function (ODF). Textures consisting of alpha- and gamma-fibres and/or cube and Goss components can be generated. The model is mathematically formulated and an automatic parameter identification technique is presented.It was found that the model can quantitatively reproduce almost any industrial steel sheet texture. Based on this parameter model, a method is presented to systematically study the sensitivity of material proper
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PACHOWICZ, PETER W. "INTEGRATING LOW-LEVEL FEATURES COMPUTATION WITH INDUCTIVE LEARNING TECHNIQUES FOR TEXTURE RECOGNITION." International Journal of Pattern Recognition and Artificial Intelligence 04, no. 02 (1990): 147–65. http://dx.doi.org/10.1142/s0218001490000113.

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This paper presents a method for applying inductive learning techniques to texture description and recognition. Local features of texture are computed by two well-known methods, Laws’ masks and co-occurrence matrices. Then, a three-level generalization of local features is applied to create texture description rules. The first level generalization, the scaling interface, has been implemented to transform the numeric data of local texture features into their higher symbolic representation as numerical ranges. This scaling interface tests data consistency as well. The creation of description rul
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Fanany Onnilita Gaffar, Achmad, Darius Shyafary, Rony H, and Arief Baramanto Wicaksono Putra. "The new proposed method for texture modification of closed up face image based on image processing using local weighting pattern (LWP) with enhancement technique." International Journal of Engineering & Technology 7, no. 2.2 (2018): 94. http://dx.doi.org/10.14419/ijet.v7i2.2.12742.

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The texture is a two- and three-dimensional design element that is distinguished by the visual and physical properties perceived. Textured areas in the image can be marked with uniform or varying spatial intensity distribution. There are many techniques and methods from simple to sophisticated which available including machine learning-based methods to modify the texture map. The texture feature description becomes a new challenge in the field of computer vision and pattern recognition since the emergence of the local pattern binary method (LBP). This study proposes a new method called Local W
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CECCARELLI, MICHELE, FRANCESCO MUSACCHIA, and ALFREDO PETROSINO. "CONTENT-BASED IMAGE RETRIEVAL BY A FUZZY SCALE-SPACE APPROACH." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 06 (2006): 849–67. http://dx.doi.org/10.1142/s0218001406005009.

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Image descriptions aimed at the realization of content-based image retrieval (CBIR) should include the vagueness of both data representations and user queries. Here we show how multiscale textural gradient can be used as an efficient visual cue for image description. This feature has been already efficiently used in problems of image segmentation and texture separation. Our main idea is based on the assumption that, for image description, shape and textures should be considered together within a unified model. We report an efficient image description algorithm where the multiscale analysis is
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Dnieprenko, V. N., and S. V. Divinskii. "A New Approach to Describing Three-Dimensional Orientation Distribution Functions in Textured Materials–Part I: Formation of Pole Density Distribution on Model Pole Figures." Textures and Microstructures 22, no. 2 (1993): 73–85. http://dx.doi.org/10.1155/tsm.22.73.

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New method for simulation of orientation distribution functions of textured materials has been proposed. The approach is based on the concept to describe any texture class by a superposition of anisotropic partial fibre components. The texture maximum spread is described in a “local” coordinate system connected with the texture component axis. A set of Eulerian angles γ1,γ2,γ3 are introduced with this aim. To specify crystallite orientations with respect to the sample coordinate system two additional sets of Eulerian angles are introduced besides γ1,γ2,γ3. One of them, (Ψ0,θ0,ϕ0), defines the
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Guo, Yimo, Guoying Zhao, and Matti Pietikäinen. "Discriminative features for texture description." Pattern Recognition 45, no. 10 (2012): 3834–43. http://dx.doi.org/10.1016/j.patcog.2012.04.003.

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Dissertations / Theses on the topic "Texture description"

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Siqueira, Fernando Roberti de 1989. "Multi-scale approaches to texture description = Abordagens multiescala para descrição de textura." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275604.

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Orientadores: Hélio Pedrini, William Robson Schwartz<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-24T04:06:04Z (GMT). No. of bitstreams: 1 Siqueira_FernandoRobertide_M.pdf: 20841189 bytes, checksum: 62053b7b36d54bbdccc8b5aa3650fe6a (MD5) Previous issue date: 2013<br>Resumo: Visão computacional e processamento de imagens desempenham um papel importante em diversas áreas, incluindo detecção de objetos e classificação de imagens, tarefas muito importantes para aplicações em imagens médicas, sensoriamento remoto, an
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Brady, Karen. "A probabilistic framework for adaptive texture description." Nice, 2003. http://www.theses.fr/2003NICE4048.

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Cette thèse s’intéresse au problème de la description de textures. Au point de départ de notre travail se trouve la constatation que, si nous voulons modéliser une texture avec précision, nous avons besoin d’une distribution de probabilités »s sur un espace d’images de taille infinie. Cela nous permet ensuite de générer des distributions sur des images de taille finie par marginalisation. Pour une distribution gaussienne, les contraintes de calcul imposées par la diagonalisation nous amènent naturellement à des modèles adaptatifs utilisant des paquets d’ondelettes. En effet, ces derniers saisi
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Spann, Michael. "Texture description and segmentation in image processing." Thesis, Aston University, 1985. http://publications.aston.ac.uk/8057/.

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Textured regions in images can be defined as those regions containing a signal which has some measure of randomness. This thesis is concerned with the description of homogeneous texture in terms of a signal model and to develop a means of spatially separating regions of differing texture. A signal model is presented which is based on the assumption that a large class of textures can adequately be represented by their Fourier amplitude spectra only, with the phase spectra modelled by a random process. It is shown that, under mild restrictions, the above model leads to a stationary random proces
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Ylioinas, J. (Juha). "Towards optimal local binary patterns in texture and face description." Doctoral thesis, Oulun yliopisto, 2016. http://urn.fi/urn:isbn:9789526214498.

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Abstract Local binary patterns (LBP) are among the most popular image description methods and have been successfully applied in a diverse set of computer vision problems, covering texture classification, material categorization, face recognition, and image segmentation, to name only a few. The popularity of the LBP methodology can be verified by inspecting the number of existing studies about its different variations and extensions. The number of those studies is vast. Currently, the methodology has been acknowledged as one of the milestones in face recognition research. The starting point of
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Sitepu, Husinsyah. "March-type models for the description of texture in granular materials." Thesis, Curtin University, 1998. http://hdl.handle.net/20.500.11937/2314.

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Texture in crystalline materials, i.e. preferred orientation (PO), is of interest in terms of texture-property relationships and also in X-ray diffraction science because PO can cause serious systematic errors in quantitative phase analysis using diffraction data. The single- parameter, pole-density distribution function (PDDF), proposed by March (1932) to represent PO in diffraction analysis, is used widely it Rietveld pattern-fitting following a suggestion by Dollase (1986). While the March model is an excellent descriptor of PO for gibbsite [AI(OH)3] x-ray powder diffraction (XRPD) data (O'
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Sitepu, Husinsyah. "March-type models for the description of texture in granular materials." Curtin University of Technology, School of Physical Sciences, 1998. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=10543.

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Texture in crystalline materials, i.e. preferred orientation (PO), is of interest in terms of texture-property relationships and also in X-ray diffraction science because PO can cause serious systematic errors in quantitative phase analysis using diffraction data. The single- parameter, pole-density distribution function (PDDF), proposed by March (1932) to represent PO in diffraction analysis, is used widely it Rietveld pattern-fitting following a suggestion by Dollase (1986). While the March model is an excellent descriptor of PO for gibbsite [AI(OH)3] x-ray powder diffraction (XRPD) data (O'
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Esling, Claude Baro R. "Description de la texture des solides polycristallins et de leur déformation plastique." Metz : Université de Metz, 2008. ftp://ftp.scd.univ-metz.fr/pub/Theses/1972/Esling.Claude.SMZ7202.pdf.

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Wu, Jimin. "Description quantitative et modélisation de la texture d'un granite : granite de Guéret (France)." Bordeaux 1, 1995. http://www.theses.fr/1995BOR10600.

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Le travail présenté consiste en une analyse de la densité, de la taille, de la forme et de la distribution spatiale des principaux minéraux (quartz, feldspaths, biotite et muscovite) du granite de Guéret (France). Après un rappel des méthodes et techniques de l'analyse d'images, on développe trois méthodes d'acquisition d'images : méthode macro-photographique sur lames minces, méthode de saisie directe en microscopie et méthode semi-automatique par dessin manuel de la texture. Les paramètres mesures font l'objet d'une analyse statistique et d'une analyse critique par comparaison des résultats
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Favier, Eric. "Contribution de l'analyse multi-résolution à la description des contours et des textures." Saint-Etienne, 1994. http://www.theses.fr/1994STET4020.

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Cette thèse s'attache à l'étude multirésolution des contours discrets et des images à niveaux de gris de texture. Le but est de fournir une description de ces objets à différentes échelles d'étude et d'essayer de déterminer la ou les échelles d'étude les plus appropriées pour l'analyse de ceux-ci. La première partie de ce travail se rapporte à l'étude des images binaires et plus particulièrement à l'étude des contours discrets. La notion d'échelle d'étude d'un contour est définie ainsi que des algorithmes permettant de la choisir. Pour chaque contour, on détermine la (ou les) échelle(s) d'étud
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Kellokumpu, V. P. (Vili-Petteri). "Vision-based human motion description and recognition." Doctoral thesis, Oulun yliopisto, 2011. http://urn.fi/urn:isbn:9789514296758.

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Abstract This thesis investigates vision based description and recognition of human movements. Automated vision based human motion analysis is a fundamental technology for creating video based human computer interaction systems. Because of its wide range of potential applications, the topic has become an active area of research in the computer vision community. This thesis proposes the use of low level description of dynamics for human movement description and recognition. Two groups of approaches are developed: first, texture based methods that extract dynamic features for human movement desc
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Books on the topic "Texture description"

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

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Rao, A. Ravishankar. A Taxonomy for Texture Description and Identification. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-9777-9.

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Rao, A. Ravishankar. A taxonomy for texture description and identification. Springer-Verlag, 1990.

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Rao, A. Ravishankar. A Taxonomy for Texture Description and Identification. Springer US, 1990.

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B, Baker David, ed. Thick description and fine texture: Studies in the history of psychology. University of Akron Press, 2003.

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Al-Zalabieh, Abdullah Awad Eid. Wadi Rum: The charm of beauty and the texture of fancy. Dar Al-Basheer, 2007.

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Rhodes, Jeannie Frey. A sense of green: A city's changing texture : an interpretive black & white repeat photography exhibit of the Baton Rouge urban forest : Louisiana Arts and Science Center, October 28. 1997-January 4, 1998. The Center, 1997.

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Rosini, Rosanna Masiola. Theories of literature and translation: "as if" in descriptive textures. Università per Stranieri di Perugia, Facoltà di Lingua e Cultura Italiana, 1997.

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Shields, Mary Ruth. Naugatuck Valley textile industry. Arcadia Publishing, 2011.

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Alberti, Leon Battista. Leon Battista Alberti's Delineation of the city of Rome (Descriptio vrbis Romæ). Arizona Center for Medieval and Renaissance Studies, 2007.

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Book chapters on the topic "Texture description"

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Della Ventura, Anna, Isabella Gagliardi, and Raimondo Schettini. "Indexing Color-Texture Image Patterns." In Image Description and Retrieval. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-4825-6_5.

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de Ridder, Dick, Robert P. W. Duin, and Josef Kittler. "Texture Description by Independent Components." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-70659-3_61.

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Salvatella, Anna, Maria Vanrell, and Ramon Baldrich. "Subtexture Components for Texture Description." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-44871-6_102.

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Rao, A. Ravishankar. "Computing oriented texture fields." In A Taxonomy for Texture Description and Identification. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-9777-9_2.

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Rao, A. Ravishankar. "Disordered textures." In A Taxonomy for Texture Description and Identification. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-9777-9_5.

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Rao, A. Ravishankar. "Compositional textures." In A Taxonomy for Texture Description and Identification. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-9777-9_6.

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Huang, Xiaohua, Guoying Zhao, Xiaopeng Hong, Matti Pietikäinen, and Wenming Zheng. "Texture Description with Completed Local Quantized Patterns." In Image Analysis. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38886-6_1.

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Rao, A. Ravishankar. "Analyzing strongly ordered textures." In A Taxonomy for Texture Description and Identification. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-9777-9_4.

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Rao, A. Ravishankar. "Introduction." In A Taxonomy for Texture Description and Identification. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-9777-9_1.

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Rao, A. Ravishankar. "The analysis of oriented textures through phase portraits." In A Taxonomy for Texture Description and Identification. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-9777-9_3.

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Conference papers on the topic "Texture description"

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Murphy, Tom. "Concrete Coating Finish Texture (CFT): SSPC Standard for Texture Categories." In Coatings+ 2019. SSPC, 2019. https://doi.org/10.5006/s2019-00036.

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Abstract High performance concrete coatings are frequently applied with a grade of texture to improve traction and safety. The finished texture is dependent upon the size and type of aggregate, application method and density, and the amount of topcoat applied over the texture. Defining the degree of texture within a specification and translating the description to installation has typically been left to individual interpretations. Product samples and project mock-ups help to clarify expectations. Unfortunately, samples are generally not produced by the installing contractor and mock-ups can be
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Kasparis, Takis, Nicolaos S. Tzannes, Mostafa A. Bassiouni, and Qing Chen. "Fractal-based multifeature texture description." In Munich '91 (Lasers '91), edited by Hatem N. Nasr. SPIE, 1991. http://dx.doi.org/10.1117/12.46061.

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"Color description and texture analysis." In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2015. http://dx.doi.org/10.1109/ipta.2015.7367135.

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Ben Haj Ayech, Marouane, and Hamid Amiri. "Texture description using statistical feature extraction." In 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP). IEEE, 2016. http://dx.doi.org/10.1109/atsip.2016.7523072.

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Quan Pang, Cuirong Yang, Yingle Fan, and Ping Xu. "Texture Image Segmentation Based on Description Complexity." In 2007 IEEE International Conference on Control and Automation. IEEE, 2007. http://dx.doi.org/10.1109/icca.2007.4376882.

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Manian, Vidya B., and Ramon E. Vasquez. "Genetic algorithm for texture description and classification." In AeroSense 2002, edited by Zia-ur Rahman, Robert A. Schowengerdt, and Stephen E. Reichenbach. SPIE, 2002. http://dx.doi.org/10.1117/12.477592.

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Ardizzone, Edoardo, Alessandro Bruno, and Giuseppe Mazzola. "Copy-move forgery detection via texture description." In the 2nd ACM workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1877972.1877990.

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Zhang, Nuo, and Toshinori Watanabe. "Texture image description based on data compression." In 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011). IEEE, 2011. http://dx.doi.org/10.1109/fskd.2011.6020004.

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Hatipoglu, S., S. K. Mitra, and N. Kingsbury. "Image texture description using complex wavelet transform." In Proceedings of 7th IEEE International Conference on Image Processing. IEEE, 2000. http://dx.doi.org/10.1109/icip.2000.899472.

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Pawlus, Pawel, Rafal Reizer, Michal Wieczorowski, and Grzegorz Krolczyk. "Parametric description of one-process surface texture." In 2021 6th International Conference on Nanotechnology for Instrumentation and Measurement (NanofIM). IEEE, 2021. http://dx.doi.org/10.1109/nanofim54124.2021.9737339.

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Reports on the topic "Texture description"

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Wells, Aaron, Tracy Christopherson, Gerald Frost, et al. Ecological land survey and soils inventory for Katmai National Park and Preserve, 2016–2017. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2287466.

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This study was conducted to inventory, classify, and map soils and vegetation within the ecosystems of Katmai National Park and Preserve (KATM) using an ecological land survey (ELS) approach. The ecosystem classes identified in the ELS effort were mapped across the park, using an archive of Geo-graphic Information System (GIS) and Remote Sensing (RS) datasets pertaining to land cover, topography, surficial geology, and glacial history. The description and mapping of the landform-vegetation-soil relationships identified in the ELS work provides tools to support the design and implementation of
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Ma, Yue, and Felix Distel. Learning Formal Definitions for Snomed CT from Text. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.193.

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Snomed CT is a widely used medical ontology which is formally expressed in a fragment of the Description Logic EL++. The underlying logics allow for expressive querying, yet make it costly to maintain and extend the ontology. Existing approaches for ontology generation mostly focus on learning superclass or subclass relations and therefore fail to be used to generate Snomed CT definitions. In this paper, we present an approach for the extraction of Snomed CT definitions from natural language texts, based on the distance relation extraction approach. By benefiting from a relatively large amount
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Márquez de Arboleda, Ángela, Mariana Osuna Arciniegas, Elizabeth Cárdenas Poveda, et al. Aprendamos Todos a Leer: guía del alumno: grado segundo 2: 2da edición. Banco Interamericano de Desarrollo, 2023. http://dx.doi.org/10.18235/0004824.

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Material para la consolidación de la lectura y la escritura a partir de la enseñanza explícita y sistemática de habilidades como el lenguaje oral, la fluidez, el vocabulario, la comprensión de lectura, las habilidades de transcripción que abarcan la caligrafía y la ortografía y las habilidades de composición escrita. Los libros presentan una ruta que se centra en el abordaje de tipologías textuales. En este recorrido se trabaja la silueta textual y la lectura y escritura de señales, símbolos e íconos; textos poéticos como las adivinanzas, retahílas y juegos de palabras; textos informativos bás
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Márquez de Arboleda, Ángela, Mariana Osuna Arciniegas, Elizabeth Cárdenas Poveda, et al. Aprendamos Todos a Leer: guía del profesor: grado segundo 2: 2da edición. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004825.

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Material para la consolidación de la lectura y la escritura a partir de la enseñanza explícita y sistemática de habilidades como el lenguaje oral, la fluidez, el vocabulario, la comprensión de lectura, las habilidades de transcripción que abarcan la caligrafía y la ortografía y las habilidades de composición escrita. Los libros presentan una ruta que se centra en el abordaje de tipologías textuales. En este recorrido se trabaja la silueta textual y la lectura y escritura de señales, símbolos e íconos; textos poéticos como las adivinanzas, retahílas y juegos de palabras; textos informativos bás
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Siripatrawan, Ubonratana. Active Chitosan-Based Film with Antimicrobial Property for Food Packaging Application. Chulalongkorn University, 2010. https://doi.org/10.58837/chula.res.2010.22.

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This research was aimed to develop an active film from chitosan film incorporated with green tea extract to enhance antioxidant and antimicrobial properties in order to be used for food shelf life extension. The experiments were divided into 3 parts. Firstly, chitosan-based film preparation and modification were determined. The results suggested that the optimum chitosan films could be prepared from 2% chitosan in 1% acetic acid. However, the chitosan film was brittle and had low flexibility. Mechanical property of chitosan film was modified by adding different concentrations of glycerol, as a
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Lunn, Pete, Marek Bohacek, Jason Somerville, Áine Ní Choisdealbha, and Féidhlim McGowan. PRICE Lab: An Investigation of Consumers’ Capabilities with Complex Products. ESRI, 2016. https://doi.org/10.26504/bkmnext306.

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Executive Summary This report describes a series of experiments carried out by PRICE Lab, a research programme at the Economic and Social Research Institute (ESRI) jointly funded by the Central Bank of Ireland, the Commission for Energy Regulation, the Competition and Consumer Protection Commission and the Commission for Communications Regulation. The experiments were conducted with samples of Irish consumers aged 18-70 years and were designed to answer the following general research question: At what point do products become too complex for consumers to choose accurately between the good ones
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