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Relevant bibliographies by topics / Texture Understanding

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Academic literature on the topic 'Texture Understanding'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Texture Understanding"

1

Hemalatha, S., and S. Margret Anouncia. "A Computational Model for Texture Analysis in Images with Fractional Differential Filter for Texture Detection." International Journal of Ambient Computing and Intelligence 7, no. 2 (2016): 93–113. http://dx.doi.org/10.4018/ijaci.2016070105.

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This paper is dedicated to the modelling of textured images influenced by fractional derivatives for texture detection. As most of the images contain textures, texture analysis becomes the most important for image understanding and it is a key solution for many computer vision applications. Hence, texture must be suitably detected and represented. Nevertheless, existing texture detection algorithms consider texture as a unique feature from edges. The proposed model explores a novel way of developing texture detection algorithm by mimicking edge detection algorithms. The method assumes that tex

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Cusano, Claudio, Paolo Napoletano, and Raimondo Schettini. "T1K+: A Database for Benchmarking Color Texture Classification and Retrieval Methods." Sensors 21, no. 3 (2021): 1010. http://dx.doi.org/10.3390/s21031010.

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In this paper we present T1K+, a very large, heterogeneous database of high-quality texture images acquired under variable conditions. T1K+ contains 1129 classes of textures ranging from natural subjects to food, textile samples, construction materials, etc. T1K+ allows the design of experiments especially aimed at understanding the specific issues related to texture classification and retrieval. To help the exploration of the database, all the 1129 classes are hierarchically organized in 5 thematic categories and 266 sub-categories. To complete our study, we present an evaluation of hand-craf

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Bai, Linqing, Jianxin Sun, Pengcheng Zhang, and Zulfiqar Ahmad Khan. "Friction Behavior of a Textured Surface against Several Materials under Dry and Lubricated Conditions." Materials 14, no. 18 (2021): 5228. http://dx.doi.org/10.3390/ma14185228.

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This paper reports research on the frictional behavior of a textured surface against several materials under dry and lubricated conditions, and this is aimed to provide design guidelines on the surface texturing for wide-ranging industrial applications. Experiments were performed on a tribo-tester with the facility of simulating A ball-on-plate model in reciprocating motion under dry, oil-lubricated, and water-lubricated conditions. To study the frictional behavior of textured SiC against various materials, three types of ball-bearing –elements, 52100 steel, silicon nitride (Si3N4), and polyte

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Bhardwaj, Vivek, R. K. Pandey, and V. K. Agarwal. "Performance studies of textured race ball bearing." Industrial Lubrication and Tribology 71, no. 9 (2019): 1116–23. http://dx.doi.org/10.1108/ilt-12-2018-0445.

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Purpose The purpose of this paper is to develop an energy-efficient and dynamically improved thrust ball bearing using textured race. A texture has been used on the stationary race of the test bearing to conduct the long-duration experiment for exploring its tribological and vibrational behaviours under starved lubricating condition using micro size MoS2 blended grease. The performance behaviours of the textured race bearing have been compared with conventional bearing (i.e. having both races without textures) under the identical operating conditions for demonstrating the advantages of texture

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Guo, Xiaoying, Liang Li, Akira Asano, and Chie Muraki Asano. "Influences of Global and Local Features on Eye-Movement Patterns in Visual-Similarity Perception of Synthesized Texture Images." Applied Sciences 10, no. 16 (2020): 5552. http://dx.doi.org/10.3390/app10165552.

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Global and local features are essential for visual-similarity texture perception. Therefore, understanding how people allocate their visual attention when viewing textures with global or local similarity is important. In this work, we investigate the influences of global and local features of a texture on eye-movement patterns and analyze the relationship between eye-movement patterns and visual-similarity selection. First, we synthesized textures by separately controlling global and local textural features through the primitive, grain, and point configuration (PGPC) texture model, a mathemati

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Eicken, Hajo, and Manfred A. Lange. "Image analysis of sea-ice thin sections: a step towards automated texture classification." Annals of Glaciology 15 (1991): 204–9. http://dx.doi.org/10.3189/1991aog15-1-204-209.

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The texture of a material is closely connected to both its development and its properties. Aided by fully automated image-processing techniques developed for a simple PC-based system, we extract textural information from sea-ice thin sections. As a quantifier of mean size and orientation of grains, the “contrast gradient” has been defined. The skewness of the chord-size distribution aptly describes the grain-size distribution. Through a combination of these two parameters, granular and columnar textures can be distinguished. Samples of mixed columnar/granular texture may be further specified t

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Eicken, Hajo, and Manfred A. Lange. "Image analysis of sea-ice thin sections: a step towards automated texture classification." Annals of Glaciology 15 (1991): 204–9. http://dx.doi.org/10.1017/s0260305500009745.

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The texture of a material is closely connected to both its development and its properties. Aided by fully automated image-processing techniques developed for a simple PC-based system, we extract textural information from sea-ice thin sections. As a quantifier of mean size and orientation of grains, the “contrast gradient” has been defined. The skewness of the chord-size distribution aptly describes the grain-size distribution. Through a combination of these two parameters, granular and columnar textures can be distinguished. Samples of mixed columnar/granular texture may be further specified t

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Raheem, Dele, Conrado Carrascosa, Fernando Ramos, Ariana Saraiva, and António Raposo. "Texture-Modified Food for Dysphagic Patients: A Comprehensive Review." International Journal of Environmental Research and Public Health 18, no. 10 (2021): 5125. http://dx.doi.org/10.3390/ijerph18105125.

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Food texture is a major food quality parameter. The physicochemical properties of food changes when processed in households or industries, resulting in modified textures. A better understanding of these properties is important for the sensory and textural characteristics of foods that target consumers of all ages, from children to the elderly, especially when food product development is considered for dysphagia. Texture modifications in foods suitable for dysphagic patients will grow as the numbers of elderly citizens increase. Dysphagia management should ensure that texture-modified (TM) food

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Patgiri, Mahadev, and Priyanka Kumar. "Understanding of two-zero textures of neutrino mass matrices in minimal extended seesaw mechanism and their symmetry realization." International Journal of Modern Physics A 34, no. 11 (2019): 1950059. http://dx.doi.org/10.1142/s0217751x19500593.

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We study the texture zeros of [Formula: see text] neutrino mass matrices [Formula: see text] in the minimal extended type-I seesaw (MES) mechanism, incorporating one extra gauge singlet field “[Formula: see text]”. The [Formula: see text] MES model deals with [Formula: see text] [Formula: see text], [Formula: see text] [Formula: see text] and [Formula: see text] mass matrix [Formula: see text] which couples the right-handed neutrinos and the singlet field “[Formula: see text]”. We carry out the mapping of all possible zero textures of [Formula: see text], [Formula: see text] and [Formula: see

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Zhang, Yali, Xiaogang Zhang, Tonghai Wu, and You-bai Xie. "Effects of surface texturing on the tribological behavior of piston rings under lubricated conditions." Industrial Lubrication and Tribology 68, no. 2 (2016): 158–69. http://dx.doi.org/10.1108/ilt-05-2015-0063.

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Purpose – The piston ring-cylinder liner pair is one of the most important tribological systems of an internal combustion engine. The friction loss of the piston ring-cylinder liner pair accounts for the largest portion of total efficiency losses. Therefore, improving the tribological system design of the piston ring-cylinder liner pair can reduce friction losses and bring tremendous economic benefits to society. This paper aims use surface texturing, which is proving to be an effective method, for improving the tribological performance of sliding surfaces. Design/methodology/approach – In thi

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Dissertations / Theses on the topic "Texture Understanding"

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Griffiths, David Glyndwr John. "Understanding texture weakening in magnesium rare earth alloys." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/understanding-texture-weakening-in-magnesium-rare-earth-alloys(3823f6a8-bba7-415f-9326-adc1b1655c8c).html.

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Magnesium has the lowest density of any structural metal making it a strong candidate for weight savings in the aerospace and automotive industries. However, strong crystallographic textures combine with anisotropic deformation modes to severely limit formability in wrought magnesium alloys. Recently improved formability has been achieved by the addition of small concentrations of solute rare earth elements which reduce the intensity of recrystallisation textures. Developing a mechanistic understanding of this effect is critical in leading alloy design towards a new class of highly formable wr

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Prasad, T. V. (Thyagarajan V. ). ""Reading into" texture : preparatory understanding of design in urban settings." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/69264.

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Georget, Dominique M. R. "A physical and chemical approach to understanding texture in Daucus carota." Thesis, University of East Anglia, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.302024.

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Cimpoi, Mircea. "Recognizing describable attributes of textures and materials in the wild and clutter." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:805cb25c-61b4-4c84-9abf-c82ea2b64495.

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Visual textures play an important role in image understanding because theyare a key component of the semantic of many images. Furthermore, texture representations, which pool local image descriptors in an orderless manner, have hada tremendous impact in a wide range of computer vision problems, from texture recognition to object detection. In this thesis we make several contributions to the area of texture understanding. First, we add a new semantic dimension to texture recognition. Instead of focusing on instance or material recognition, we propose a human-interpretable vocabulary of texture

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Ali, Abubeker Yimam. "Understanding the effects of mineralogy, ore texture and microwave power delivery on microwave treatment of ores." Thesis, Stellenbosch : University of Stellenbosch, 2010. http://hdl.handle.net/10019.1/3988.

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Thesis (PhD (Process Engineering))--University of Stellenbosch, 2010.<br>ENGLISH ABSTRACT: Previous work has shown that microwave heating of mineral ores induces fractures around grain boundaries due to the differences in absorption of microwaves and the resulting differential thermal expansion among the various mineral phases in the ore particles. As a consequence, this reduces the energy required in subsequent grinding and enhances liberation of valuable minerals. In this study, first, the influences of different variables on bulk strength reduction of microwave treated ores have been

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Chichti, Emna. "Multi-scale approach for understanding the link between Triticum aestivum grain texture and milling behaviour : focus on the endosperm microstructure and local nano-mechanical properties." Thesis, Montpellier, SupAgro, 2013. http://www.theses.fr/2013NSAM0019/document.

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La texture de l'albumen de blé tendre (Triticum aestivum) est une propriété importante du grain qui affecte son comportement au fractionnement, ainsi que la qualité des produits finis. Elle est définie par la dureté et la vitrosité qui sont deux propriétés différentes du blé. La dureté est reliée à l'adhésion entre les granules d'amidon et la matrice protéique (principaux constituants de l'albumen) qui est contrôlée génétiquement à travers l'état des puroindolines (sauvages ou mutées). La vitrosité est associée à la porosité de l'albumen et varie principalement en fonction des conditions de cu

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Kühn, Rebecca [Verfasser], Bernd [Akademischer Betreuer] Leiss, Jonas [Gutachter] Kley, and Michael [Gutachter] Stipp. "Advanced synchrotron texture analysis of phyllosilicate-rich rocks from different tectonic settings – Understanding texture-forming processes and anisotropic physical properties / Rebecca Kühn ; Gutachter: Jonas Kley, Michael Stipp ; Betreuer: Bernd Leiss." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2019. http://d-nb.info/1200209133/34.

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Moore, Carmel. "Understanding the perceived texture, preference and attitudes toward meat analogues, in relation to meat, using masticatory, sensory and attitude-behaviour evaluation techniques." Thesis, University of Reading, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428181.

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Kalaluhi, Stephen L. "On Developing a Deeper Understanding of Authentic Leadership| Interpreting Matthew 3|11 - 5|48 Using Intertexture Analysis and Social and Cultural Texture Analysis." Thesis, Regent University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3689190.

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<p> Abstract This inductive, qualitative research study explore the construct of authentic leadership within the context of organizational leadership as demonstrated within the Matthew 3:11 – 5:48 pericope. Using the Matthew 3:11 – 5:48 pericope as a foundation for authentic leadership, this study seeks to answer the following research question: How does the pericope within the Christian sacred text that describes Jesus' baptism, temptations, subsequent start of ministry, and initial teachings as found in Matthew 3:11 – 5:48 contribute to our current understanding of how orga

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Kivinen, Jyri Juhani. "Statistical models for natural scene data." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/8879.

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This thesis considers statistical modelling of natural image data. Obtaining advances in this field can have significant impact for both engineering applications, and for the understanding of the human visual system. Several recent advances in natural image modelling have been obtained with the use of unsupervised feature learning. We consider a class of such models, restricted Boltzmann machines (RBMs), used in many recent state-of-the-art image models. We develop extensions of these stochastic artificial neural networks, and use them as a basis for building more effective image models, and t

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Books on the topic "Texture Understanding"

1

Jerstorp, Karin. The textile design book: Understanding and creating patterns using texture, shape, andcolor. Lark Books, 1988.

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1924-, Köhlmark Eva, ed. The textile design book: Understanding and creating patterns using texture, shape, and color. Lark Books, 1988.

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G, Tortora Phyllis, ed. Understanding textiles. 6th ed. Prentice Hall, 2001.

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J, Collier Billie, ed. Understanding textiles. 5th ed. Merrill, 1997.

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Collier, Billie J. Understanding textiles. 7th ed. Pearson Prentice Hall, 2009.

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Collier, Billie J. Understanding textiles. 7th ed. Pearson Education, 2008.

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Understanding textiles. 3rd ed. Macmillan, 1987.

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Tortora, Phyllis G. Understanding textiles. 4th ed. Maxmillan Pub. Co., 1992.

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Collier, Billie J. Understanding textiles. 7th ed. Pearson Education, 2009.

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On textual understanding and other essays. Manchester University Press, 1986.

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Book chapters on the topic "Texture Understanding"

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Kanatani, Kenichi. "Shape from Texture." In Group-Theoretical Methods in Image Understanding. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-61275-6_9.

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Xu, Weiliang, and John E. Bronlund. "Understanding Food Texture Using Masticatory Robots." In Mastication Robots. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-93903-0_8.

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Chellappa, Rama, and B. S. Manjunath. "Texture Classification and Segmentation: Tribulations, Triumphs and Tributes." In Foundations of Image Understanding. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1529-6_8.

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Massich, Joan, Fabrice Meriaudeau, Melcior Sentís, et al. "SIFT Texture Description for Understanding Breast Ultrasound Images." In Breast Imaging. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07887-8_94.

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Mattivi, Riccardo, and Ling Shao. "Spatio-temporal Dynamic Texture Descriptors for Human Motion Recognition." In Intelligent Video Event Analysis and Understanding. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17554-1_4.

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Jeltema, Melissa, Jacqueline H. Beckley, and Jennifer Vahalik. "Importance of understanding mouth behavior when optimizing product texture now and in the future." In Food Texture Design and Optimization. John Wiley & Sons, Ltd, 2014. http://dx.doi.org/10.1002/9781118765616.ch17.

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Ahmad, Shahzor, and Loong-Fah Cheong. "Facilitating and Exploring Planar Homogeneous Texture for Indoor Scene Understanding." In Computer Vision – ECCV 2016. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46475-6_3.

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Brooks, Adam J., Arushi Dhakad, Agustin Diaz, and Daniel Kowalik. "Toward Understanding the Role of Surface Texture for Additively Manufactured Metal Parts." In Structural Integrity of Additive Manufactured Materials & Parts. ASTM International, 2020. http://dx.doi.org/10.1520/stp163120190160.

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Hadji, Isma, and Richard P. Wildes. "A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding." In Computer Vision – ECCV 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01264-9_20.

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Kaur, Kriti Harleen, and Jitendra Virmani. "Evaluating the Efficacy of Multi-resolution Texture Features for Prediction of Breast Density Using Mammographic Images." In Hybrid Intelligence for Image Analysis and Understanding. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119242963.ch17.

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Conference papers on the topic "Texture Understanding"

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Haindl, Michal, and Milos Kudelka. "Texture fidelity benchmark." In 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). IEEE, 2014. http://dx.doi.org/10.1109/iwcim.2014.7008812.

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Lin, Tsung-Yu, and Subhransu Maji. "Visualizing and Understanding Deep Texture Representations." In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2016. http://dx.doi.org/10.1109/cvpr.2016.305.

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Guo, Yang, Dinakar Sagapuram, Anirban Mahato, Rachid M’Saoubi, Kevin P. Trumble, and Srinivasan Chandrasekar. "Understanding Deformation on Machined Surfaces." In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-4003.

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The deformation history and state of machined surface in cutting of metals are characterized using high-speed image analysis, complemented by hardness, microstructure and texture measurements. Large surface strains are observed, due to the severe plastic deformation (SPD) intrinsic to chip formation. The deformation history and microstructure/texture of the chip and surface are found to be equivalent. The surface strain distribution is shown to scale with undeformed chip thickness and influenced by the rake angle. Based on the observations, and related prior work on process-microstructure-prop

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Katsenou, Angeliki V., Thomas Ntasios, Mariana Afonso, Dimitris Agrafiotis, and David R. Bull. "Understanding video texture — A basis for video compression." In 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2017. http://dx.doi.org/10.1109/mmsp.2017.8122252.

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Setchell, C. J. "Using colour Gabor texture features for scene understanding." In 7th International Conference on Image Processing and its Applications. IEE, 1999. http://dx.doi.org/10.1049/cp:19990346.

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Fang, Guoping, Yadollah Maham, and Alidad Amirfazli. "Understanding the Role of Surface Micro-Texture on the Delayed Freezing of Drops on Cold Surfaces." In ASME 2011 9th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2011. http://dx.doi.org/10.1115/icnmm2011-58188.

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Freezing of drops on surfaces has many consequences in icing of various systems, e.g. micro-condensers. It is known that when a water drop is placed on a cold surface and the surface temperature is reduced, it will not necessarily freeze when the surface temperature has reached zero degrees Celsius. The delay in freezing of a drop on a cold surface is not well understood; especially the effect that micro- and nano-texture of a surface has this delay. In this study, freezing and melting points of water drops on various micro-textured surfaces, i.e. superhydrophilic, and superhydrophobic have be

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Zhang, Yan, Sebastian J. Wirkert, Justin Iszatt, et al. "Tissue classification for laparoscopic image understanding based on multispectral texture analysis." In SPIE Medical Imaging, edited by Robert J. Webster and Ziv R. Yaniv. SPIE, 2016. http://dx.doi.org/10.1117/12.2216090.

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Jagtap, Piyush, and Praveen Kumar. "Macro and micro-texture study for understanding whisker growth in Sn coatings." In 2016 IEEE 18th Electronics Packaging Technology Conference (EPTC). IEEE, 2016. http://dx.doi.org/10.1109/eptc.2016.7861464.

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Nadgeri, Sulochana, and Arun Kumar. "An Image Texture based approach in understanding and classifying Baby Sign Language." In 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2019. http://dx.doi.org/10.1109/icicict46008.2019.8993381.

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Fonte, Matthew, and Anil Saigal. "Crystallographic Texture of Nitinol and its Effects on Macrophage." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-37109.

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The use of Nitinol for medical purposes was first reported in the late 1960’s. Today Nitinol is commonly used for the manufacture of stents, which are primarily used in peripheral and coronary bypass graft interventions. The application of NiTi in orthopedics is an exciting prospect but one that has yet to be realized. Nitinol’s unique mechanical behavior is derived from the coordinated atomic movements manifesting in phase transformations from cubic austenite to monoclinic martensite. These phase transformations are solid-to-solid phase transformations that occur without diffusion or plastici

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Reports on the topic "Texture Understanding"

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Chidsey, Thomas C., David E. Eby, Michael D. Vanden Berg, and Douglas A. Sprinkel. Microbial Carbonate Reservoirs and Analogs from Utah. Utah Geological Survey, 2021. http://dx.doi.org/10.34191/ss-168.

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Multiple oil discoveries reveal the global scale and economic importance of a distinctive reservoir type composed of possible microbial lacustrine carbonates like the Lower Cretaceous pre-salt reservoirs in deepwater offshore Brazil and Angola. Marine microbialite reservoirs are also important in the Neoproterozoic to lowest Cambrian starta of the South Oman Salt Basin as well as large Paleozoic deposits including those in the Caspian Basin of Kazakhstan (e.g., Tengiz field), and the Cedar Creek Anticline fields and Ordovician Red River “B” horizontal play of the Williston Basin in Montana and

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