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Dissertations / Theses on the topic 'Textured images'

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1

Li, Zhongqiang. "Segmentation of textured images." Thesis, University of Central Lancashire, 1991. http://clok.uclan.ac.uk/20270/.

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This study is dedicated to the problem of segmenting monochrome images into distinct homogeneous regions by texture properties. The principle of the approaches to texture segmentation adopted in this thesis is mapping a textured image into a grey level image so that conventional segmentation techniques by intensity can be applied. Three novel approaches to texture segmentation have been developed in this thesis. They are called the Local Feature Statistics Approach (LFS), the Local Spectral Mapping Approach (LSM) and the Multichannel Spatial Filtering Approach (MSF). In the LFS approach, a mul
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2

Leng, Xiaoling. "Analysis of some textured images by transputer." Thesis, University of Glasgow, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324405.

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3

Noriega, Leonardo Antonio. "The colorimetric segmentation of textured digital images." Thesis, Southampton Solent University, 1998. http://ssudl.solent.ac.uk/2444/.

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This study approaches the problem of colour image segmentation as a pattern recognition task. This leads to the problem being broken down into two component parts: feature extraction and classification algorithms. Measures to enable the objective assessment of segmentation algorithms are considered. In keeping with this pattern-recognition based philosophy, the issue of texture is approached by a consideration of features, follwed by experimentation based on classification. Techniques based on Gabor filters and fractal dimension are compared. Also colour is considered in terms of its features,
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4

Bradbury, Teresa Ann. "Textured imprints, images, social change, and cultural memory." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ29144.pdf.

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5

Williams, Ian Anthony. "Edge detection of textured images using multiple scales and statistics." Thesis, Manchester Metropolitan University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.491176.

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Texture is often the discriminator for different regions of an image. It can allow a region, or an object's edges to be represented as a difference in the pixel texture properties, as opposed to a difference in intensity. When analysing images with significant levels of noise, clutter or texture, the inadequacies of many common edge detectors has been noted. Where these traditional techniques fail, texture based edge detection proves more appropriate. In this work novel statistical edge detectors particularly suited for textured images are designed, presented and analysed. These are based on t
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Văcar, Cornelia Paula. "Inversion for textured images : unsupervised myopic deconvolution, model selection, deconvolution-segmentation." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0131/document.

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Ce travail est dédié à la résolution de plusieurs problèmes de grand intérêt en traitement d’images : segmentation, choix de modèle et estimation de paramètres, pour le cas spécifique d’images texturées indirectement observées (convoluées et bruitées). Dans ce contexte, les contributions de cette thèse portent sur trois plans différents : modéle, méthode et algorithmique.Du point de vue modélisation de la texture, un nouveaumodèle non-gaussien est proposé. Ce modèle est défini dans le domaine de Fourier et consiste en un mélange de Gaussiennes avec une Densité Spectrale de Puissance paramétriq
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7

Meléndez, Rodríguez Jaime Christian. "Supervised and unsupervised segmentation of textured images by efficient multi-level pattern classification." Doctoral thesis, Universitat Rovira i Virgili, 2010. http://hdl.handle.net/10803/8487.

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This thesis proposes new, efficient methodologies for supervised and unsupervised image segmentation based on texture information. For the supervised case, a technique for pixel classification based on a multi-level strategy that iteratively refines the resulting segmentation is proposed. This strategy utilizes pattern recognition methods based on prototypes (determined by clustering algorithms) and support vector machines. In order to obtain the best performance, an algorithm for automatic parameter selection and methods to reduce the computational cost associated with the segmentation proces
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8

Dura, Martinez Esther. "Reconstruction and classification of man-made objects and textured seafloors from side-scan sonar images." Thesis, Heriot-Watt University, 2002. http://hdl.handle.net/10399/409.

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9

Achddou, Raphaël. "Synthetic learning for neural image restoration methods." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAT006.

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La photographie occupe aujourd'hui une place prépondérante dans nos vies. De plus, les attentes en terme de qualité des images augmentent tandis que la taille des appareils imageurs diminuent. Dans ce contexte, l'amélioration des algorithmes de traitement d'image est primordial.Dans ce manuscrit, on s'intéresse particulièrement aux tâches de restauration des images. Le but est de produire une image propre à partir d'une ou plusieurs observations bruitées de la même scène. Pour ces problèmes, les méthodes d'apprentissage profond ont connu un essor spectaculaire dans la dernière décennie, surpas
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Casaca, Wallace Correa de Oliveira [UNESP]. "Restauração de imagens digitais com texturas utilizando técnicas de decomposição e equações diferenciais parciais." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/94247.

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Made available in DSpace on 2014-06-11T19:26:56Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-02-25Bitstream added on 2014-06-13T19:06:36Z : No. of bitstreams: 1 casaca_wco_me_sjrp.pdf: 5215634 bytes, checksum: 291e2a21fdb4d46a11de22f18cc97f93 (MD5)<br>Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)<br>Neste trabalho propomos quatro novas abordagens para tratar o problema de restauração de imagens reais contendo texturas sob a perspectiva dos temas: reconstrução de regiões danificadas, remoção de objetos, e eliminação de ruídos. As duas primeiras abor dagens são design
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11

Park, Keith Marron. "The global-to-local search method: A systematic search procedure that uses the context of the textured layout to locate and detect low-contrast targets in aerial images." CSUSB ScholarWorks, 1993. https://scholarworks.lib.csusb.edu/etd-project/700.

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12

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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Casaca, Wallace Correa de Oliveira. "Restauração de imagens digitais com texturas utilizando técnicas de decomposição e equações diferenciais parciais /." São José do Rio Preto : [s.n.], 2010. http://hdl.handle.net/11449/94247.

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Orientador: Maurílio Boaventura<br>Banca: Evanildo Castro Silva Júnior<br>Banca: Alagacone Sri Ranga<br>Resumo: Neste trabalho propomos quatro novas abordagens para tratar o problema de restauração de imagens reais contendo texturas sob a perspectiva dos temas: reconstrução de regiões danificadas, remoção de objetos, e eliminação de ruídos. As duas primeiras abor dagens são designadas para recompor partes perdias ou remover objetos de uma imagem real a partir de formulações envolvendo decomposiçãode imagens e inpainting por exem- plar, enquanto que as duas últimas são empregadas para remover r
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Negri, Tamiris Trevisan. "Descritores locais de textura para classificação de imagens coloridas sob variação de iluminação." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-02032018-112555/.

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A classificação de texturas coloridas sob diferentes condições de iluminação é um desafio na área de visão computacional, e depende da eficiência dos descritores de textura em capturar características que sejam discriminantes independentemente das propriedades da fonte de luz incidente sobre o objeto. Visando melhorar o processo de classificação de texturas coloridas iluminadas com diferentes fontes de luz, este trabalho propõe três novos descritores, nomeados Opponent Color Local Mapped Pattern (OCLMP), que combina o descritor de texturas por padrões locais mapeados (Local Mapped Pattern - LM
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Pasáček, Václav. "Segmentace obrazu podle textury." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236463.

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Image segmentation is an important step in image processing. A traditional way how to segment an image is a texture-based segmentation that uses texture features to describe image texture. In this work, Local Binary Patterns (LBP) are used for image texture representation. Texture feature is a histogram of occurences of LBP codes in a small image window. The work also aims to comparison of results of various modifications of Local Binary Patterns and their usability in the image segmentation which is done by unsupervised clustering of texture features. The Fuzzy C-Means algorithm is finally us
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Leite, Tatiane Silvia. "Melhoria da atratividade de faces em imagens = Enhancement of faces attractiveness in images." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259371.

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Orientador: José Mario De Martino<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-20T14:28:14Z (GMT). No. of bitstreams: 1 Leite_TatianeSilvia_M.pdf: 77678050 bytes, checksum: 402062baa2ae89224527d82c64355abd (MD5) Previous issue date: 2012<br>Resumo: O rosto desempenha um papel importante na comunicação e expressão de emoções. Por ser o cartão de visitas individual e caracterizar a primeira impressão de cada um, sua aparência e seu formato tornam-se alvo de diversos estudos. Um rosto mais
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Kim, Kyu-Heon. "Segmentation of natural texture images using a robust stochastic image model." Thesis, University of Newcastle Upon Tyne, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307927.

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18

Azzabou, Noura. "Variable Bandwidth Image Models for Texture-Preserving Enhancement of Natural Images." Paris Est, 2008. http://pastel.paristech.org/4041/01/ThesisNouraAzzabou.pdf.

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Cette thèse s’intéresse aux problèmes de restauration d’images et de préservation de textures. Cette tâche nécessite un modèle image qui permet de caractériser le signal qu’on doit obtenir. Un tel model s’appuie sur la définition de l’interaction entre les pixels et qui est caractérisé par deux aspects : (1) la similarité photométrique entre les pixels (2) la distance spatiale entre les pixels qui peut être comparée à une grandeur d’échelle. La première partie de la thèse introduit un nouveau modèle non paramétrique d’image. Ce modèle permet d’obtenir une description adaptative de l’image en u
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19

Glotfelty, Joseph Edmund. "Automatic selection of optimal window size and shape for texture analysis." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=898.

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Thesis (M.A.)--West Virginia University, 1999.<br>Title from document title page. Document formatted into pages; contains vii, 59 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 55-59).
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20

Green, Lori Anne. "Tiled texture synthesis." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/429.

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In this thesis a new image-based texturing method has been developed. This new method allows users to synthesize tiled textures that can be mapped to any quadrilateral mesh without discontinuity or singularity. An interface has been developed that allows user control over out put textures. Three methods have been included in the interface to create a periodic looking texture for 3D models and two methods have been developed to create wallpaper images (repeating textures on a 2D surface). Using these texturing methods, texturing problems are simplified, and more time can be spent solving ar
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21

Lladó, Bardera Xavier. "Texture recognition under varying imaging geometries." Doctoral thesis, Universitat de Girona, 2004. http://hdl.handle.net/10803/7721.

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La visió és probablement el nostre sentit més dominant a partir del qual derivem la majoria d'informació del món que ens envolta. A través de la visió podem percebre com són les coses, on són i com es mouen. En les imatges que percebem amb el nostre sistema de visió podem extreure'n característiques com el color, la textura i la forma, i gràcies a aquesta informació som capaços de reconèixer objectes fins i tot quan s'observen sota unes condicions totalment diferents. Per exemple, som capaços de distingir un mateix objecte si l'observem des de diferents punts de vista, distància, condicions d'
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Dunlop, Jonathan. "Texture analysis in sonar images." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340489.

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23

Bravo, Maria Jacqueline Atoche [UNESP]. "Análise do descritor de padrões mapeados localmente em multiescala para classificação de textura em imagens digitais." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/138320.

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Muñoz, Pujol Xavier 1976. "Image segmentation integrating colour, texture and boundary information." Doctoral thesis, Universitat de Girona, 2003. http://hdl.handle.net/10803/7719.

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La tesis se centra en la Visión por Computador y, más concretamente, en la segmentación de imágenes, la cual es una de las etapas básicas en el análisis de imágenes y consiste en la división de la imagen en un conjunto de regiones visualmente distintas y uniformes considerando su intensidad, color o textura.<br/>Se propone una estrategia basada en el uso complementario de la información de región y de frontera durante el proceso de segmentación, integración que permite paliar algunos de los problemas básicos de la segmentación tradicional. La información de frontera permite inicialmente identi
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Linnett, L. M. "Multi-texture image segmentation." Thesis, Heriot-Watt University, 1991. http://hdl.handle.net/10399/856.

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Visual perception of images is closely related to the recognition of the different texture areas within an image. Identifying the boundaries of these regions is an important step in image analysis and image understanding. This thesis presents supervised and unsupervised methods which allow an efficient segmentation of the texture regions within multi-texture images. The features used by the methods are based on a measure of the fractal dimension of surfaces in several directions, which allows the transformation of the image into a set of feature images, however no direct measurement of the fra
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Muhammad, Imran. "Colorizing Grey Scale Images." Thesis, Högskolan Dalarna, Datateknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181.

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The purpose of this thesis is to develop a working methodology to color a grey scale image. This thesis is based on approach of using a colored reference image. Coloring grey scale images has no exact solution till date and all available methods are based on approximation. This technique of using a color reference image for approximating color information in grey scale image is among most modern techniques.Method developed here in this paper is better than existing methods of approximation of color information addition in grey scale images in brightness, sharpness, color shade gradients and di
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Ingratta, Donato. "Texture image retrieval using fuzzy image subdivision." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0012/MQ52743.pdf.

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Hao, Chuan Yan. "Image completion based on texture regularity and texture synthesis." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1940411.

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Montoya, Zegarra Javier Alexandre. "Descrição de texturas invariante a rotação e escala para identificação e reconhecimento de imagens." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/276078.

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Orientadores: Neucimar Jeronimo Leite, Ricardo da Silva Torres<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-11T13:50:45Z (GMT). No. of bitstreams: 1 MontoyaZegarra_JavierAlexandre_M.pdf: 8116822 bytes, checksum: 20c3ccd74b0a3060683796bd65cd766f (MD5) Previous issue date: 2007<br>Resumo: Uma importante característica de baixo nível, utilizada tanto na percepção humana como no reconhecimento de padrões, é a textura. De fato, o estudo de textura tem encontrado diversas aplicações abrangendo desde segmentação de tex
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Alegro, Maryana de Carvalho. "Segmentação de tumores de encéfalo em imagens por ressonância magnética baseada em informações texturais." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-11082009-170102/.

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As imagens por ressonância magnéticas não indispensáveis no diagnóstico e tratamento de tumores do encéfalo devido ao seu alto grau de detalhamento anatômico. A tarefa de segmenta¸cão da região tumoral, nestas, permite uma análise quantitativa mais precisa, viabilizando um melhor acompanhamento da evolução/regressão da doença. Porém, a realização manual de tal trabalho é cansativa e apresenta diversas desvantagens que a tornam proibitiva, fazendo com que nao haja muitos médicos dispostos a realizá-la rotineiramente. Neste trabalho é proposto um sistema para segmenta¸cão automática de tumores d
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Rajagopal, S. (Satish). "3D texture reconstruction from multi-view images." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201706022492.

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Given an uncontrolled image dataset, there are several approaches to reconstruct the geometry of the scene and very few for reconstructing the texture. We analyze two different state of the art fully integrated texture reconstruction frameworks to generate a textured scene. Shan et al.’s approach [1] uses a shading model inspired by Computer Graphics rendering to formulate the scene and compute the texture. Texture is stored as albedo reflectance parameter per vertex for each color channel. Waechter et al. [2] uses a two-stage approach, first stage where a view is selected for each face and se
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AbdelNasser, Mohamed Mahmoud Mohamed. "Development of advanced computer methods for breast cancer image interpretation through texture and temporal evolution analysis." Doctoral thesis, Universitat Rovira i Virgili, 2016. http://hdl.handle.net/10803/395213.

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El càncer de pit és una de les malalties més perilloses que ataquen les dones. Els sistemes de diagnòstic assistit per ordinador poden ajudar a detectar el càncer de pit de forma precoç i reduir-ne la mortalitat. Aquesta tesi proposa diversos mètodes per a l'anàlisi d'imatges de càncer de mama. Analitzem el càncer de mama a mamografies, ecografies i termografies. La nostra anàlisi inclou la classificació de massa / teixit normal de pit, la classificació de tumors benignes / maligne en les mamografies i les imatges d'ultrasò, detecció de mugró en termogrames, registre de mamografies i l'anàlisi
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Azzabou, Noura. "Restauration des images naturelles et préservation de la texture à l'aide de noyaux de taille normale." Phd thesis, Ecole des Ponts ParisTech, 2008. http://pastel.archives-ouvertes.fr/pastel-00004041.

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Cette thèse s'intéresse aux problèmes de restauration d'images et de préservation de textures. Cette tache nécessite un modèle image qui permet de caractériser le signal qu'on doit obtenir. Un tel model s'appuie sur la définition de l'interaction entre les pixels et qui est caractérisé par deux aspects : (i) la similarité photométrique entre les pixels (ii) la distance spatiale entre les pixels qui peut être comparée à une grandeur d'échelle. La première partie de la thèse introduit un nouveau modèle non paramétrique d'image. Ce modèle permet d'obtenir une description adaptative de l'image en
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Petroudi, Styliani. "Texture in mammographic image analysis." Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422668.

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Byrne, James. "Texture synthesis for image compression." Thesis, University of Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574259.

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Still image compression methods have changed little over the last ten years. Mean- while, the quantity of content transmitted over limited bandwidth channels has increased dramatically. The currently available methods are content agnostic: that I is they use the same compression process independent of the content at any given spatial location. Region specific coding provides one possible route to increased compression performance. Texture regions in particular are usually not conceptually important to a viewer of an image, but the high frequency nature of such regions consumes many bits when e
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Girometti, Laura. "Automatic texture-cartoon image decomposition." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24486/.

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La decomposizione di un'immagine nelle sue componenti più significative, come la struttura, la texture e il rumore, svolge un ruolo chiave nel poter processare al meglio l'immagine stessa. L'obiettivo di questa tesi è di proporre un modello a due fasi per decomporre un'immagine in tre componenti, ovvero cartoon-texture-rumore, utilizzando un approccio variazionale, che consiste nel minimizzare un funzionale costituito da più termini energia, ognuno adatto ad estrarre una specifica componente, bilanciati da diversi parametri. Lo scopo è riuscire a meglio separare la texture dal rumore, data la
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Castelano, Célio Ricardo. "Estudo comparativo da transformada wavelet no reconhecimento de padrões da íris humana." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-30112006-134736/.

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Neste trabalho é apresentado um método para reconhecimento de seres humanos através da textura da íris. A imagem do olho é processada através da análise do gradiente, com uma técnica de dispersão aleatória de sementes. Um vetor de características é extraído para cada íris, baseado na análise dos componentes wavelet em diversos níveis de decomposição. Para se mensurar as distâncias entre esses vetores foi utilizado o cálculo da distância Euclidiana, gerando-se curvas recall x precision para se medir a eficiência do método desenvolvido. Os resultados obtidos com algumas famílias wavelets demonst
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Nyman, Anton. "DETECTION OF ANOMALIES IN IMAGES OF HOMOGENEOUS TEXTURES." Thesis, Umeå universitet, Institutionen för fysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-186998.

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Vieira, Fábio Henrique Antunes [UNESP]. "Image processing through machine learning for wood quality classification." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/142813.

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Submitted by FÁBIO HENRIQUE ANTUNES VIEIRA null (curso_structural@hotmail.com) on 2016-08-03T12:43:17Z No. of bitstreams: 1 Fábio Henrique Antunes Vieira TESE.pdf: 4977174 bytes, checksum: f3e115728925e457e12dd4a79c93812a (MD5)<br>Approved for entry into archive by Ana Paula Grisoto (grisotoana@reitoria.unesp.br) on 2016-08-04T19:15:49Z (GMT) No. of bitstreams: 1 vieira_fha_dr_guara.pdf: 4977174 bytes, checksum: f3e115728925e457e12dd4a79c93812a (MD5)<br>Made available in DSpace on 2016-08-04T19:15:49Z (GMT). No. of bitstreams: 1 vieira_fha_dr_guara.pdf: 4977174 bytes, checksum: f3e1157289
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Ha, Minh Thien. "Modelling of stochastic and quasi-periodic texture images /." [S.l.] : [s.n.], 1989. http://library.epfl.ch/theses/?nr=804.

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41

Song, Keng Yew. "Surface defect detection on textured background." Thesis, University of Surrey, 1993. http://epubs.surrey.ac.uk/844113/.

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This thesis addresses the problem of defect detection on complex textural surfaces. In general, whether the texture to be inspected is regular or random, in image terms it is characterized by local variations in pixel grey level values. These normal variations render the problem of texture defect detection extremely difficult as defects are often manifested by grey level changes and their detection requires more than mere pixel comparisons. In the thesis, classical techniques on texture representation are studied and various existing texture defect detection algorithms are reviewed. Three nove
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Klimeš, Jiří. "Analýza textury objektů v zorném poli kamery." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442465.

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This master thesis deals with design and implementation of algorithms for image analysis of object surface texture for the purpose of automating the surface grinding process. In the first part of this thesis, a search was performed in the field of image analysis of object surface texture. The proposed descriptors were tested on the created annotated database of texture images. Subsequently, a scene for image acquisition of the machined object was designed and assembled, and the grinding process was automated based on the results of the previous analysis. The implementation and achieved results
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Galerne, Bruno. "Stochastic image models and texture synthesis." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2010. http://tel.archives-ouvertes.fr/tel-00595283.

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Cette thèse est une étude de modèles d'image aléatoires avec des applications en synthèse de texture.Dans la première partie de la thèse, des algorithmes de synthèse de texture basés sur le modèle shot noise sont développés. Dans le cadre discret, deux processus aléatoires, à savoir le shot noise discret asymptotique et le bruit à phase aléatoire, sont étudiés. On élabore ensuite un algorithme rapide de synthèse de texture basé sur ces processus. De nombreuses expériences démontrent que cet algorithme permet de reproduire une certaine classe de textures naturelles que l'on nomme micro-textures
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Tan, Tieniu. "Image texture analysis : classification and segmentation." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/8697.

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Chen, Yan Qiu. "Novel techniques for image texture classification." Thesis, University of Southampton, 1995. https://eprints.soton.ac.uk/250162/.

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Texture plays an increasingly important role in computer vision. It has found wide application in remote sensing, medical diagnosis, quality control, food inspection and so forth. This thesis investigates the problem of classifying texture in digital images, following the convention of splitting the problem into feature extraction and classification. Texture feature descriptions considered in this thesis include Liu's features, features from the Fourier transform using geometrical regions, the Statistical Gray-Level Dependency Matrix, and the Statistical Feature Matrix. Classification techniqu
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Alaei, Fahimeh. "Texture Feature-based Document Image Retrieval." Thesis, Griffith University, 2019. http://hdl.handle.net/10072/385939.

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Storing and manipulating documents in digital form to contribute to a paperless society has been the propensity of emerging technology. There has been notable growth in the variety and quantity of digitised documents, which have often been scanned/photographed and archived as images without any labelling or sufficient index information. The growth of these kinds of document images will undoubtedly continue with new technology. To provide an effective way for retrieving and organizing these document images, many techniques have been implemented in the literature. However, designing automation s
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Tania, Sheikh. "Efficient texture descriptors for image segmentation." Thesis, Federation University Australia, 2022. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/184087.

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Colour and texture are the most common features used in image processing and computer vision applications. Unlike colour, a local texture descriptor needs to express the unique variation pattern in the intensity differences of pixels in the neighbourhood of the pixel-of-interest (POI) so that it can sufficiently discriminate different textures. Since the descriptor needs spatial manipulation of all pixels in the neighbourhood of the POI, approximation of texture impacts not only the computational cost but also the performance of the applications. In this thesis, we aim to develop novel texture
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Elunai, Ronald Tabu. "Particulate texture image analysis with applications." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/45718/1/Ronald_Elunai_Thesis.pdf.

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Texture analysis and textural cues have been applied for image classification, segmentation and pattern recognition. Dominant texture descriptors include directionality, coarseness, line-likeness etc. In this dissertation a class of textures known as particulate textures are defined, which are predominantly coarse or blob-like. The set of features that characterise particulate textures are different from those that characterise classical textures. These features are micro-texture, macro-texture, size, shape and compaction. Classical texture analysis techniques do not adequately capture particu
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Silva, Núbia Rosa da. "Reconhecimento de padrões heterogêneos e suas aplicações em biologia e nanotecnologia." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30032016-145929/.

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O reconhecimento de padrões de textura em imagens tem sido uma importante ferramenta na área de visão computacional. Isso porque o atributo textura pode revelar características intrínsecas, tornando possível a classificação de um conjunto de imagens semelhantes. Embora a textura seja estudada há mais de meio século, ainda não existe um consenso sobre sua definição e nem mesmo um método de extração de características de textura que seja eficiente para todos os tipos de imagens. Além disso, os métodos da literatura analisam os padrões de textura de maneira global, considerando que uma imagem apr
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Camilleri, Kenneth P. "Multiresolution texture segmentation." Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843549/.

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The problem of unsupervised texture segmentation was studied and a texture segmentation algorithm was developed making use of the minimum number of prior assumptions. In particular, no prior information about the type of textures, the number of textures and the appropriate scale of analysis for each texture was required. The texture image was analysed by the multiresolution Gabor expansion. The Gabor expansion generates a large number of features for each image and the most suitable feature space for segmentation needs to be determined automatically. The two-point correlation function was used
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