Dissertations / Theses on the topic 'Texture'
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Kaur, Avneet. "Texture mapping using tiled textures." Texas A&M University, 2004. http://hdl.handle.net/1969.1/426.
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This thesis work presents a simple and practical technique for seamlessly texturing quadrilateral meshes. Using this technique, an isotropic homogeneous texture can be mapped to any quadrilateral mesh without any discontinuity or singularity in the resultant texturing. The method involves organizing a set of square texture tiles that satisfy specific boundary conditions into one texture image file which is called a tiled texture. Based on the tiled textures, we have developed an extremely simple
texture mapping algorithm that randomly assigns one tile to every patch in any given
quadrilateral mesh. The mapping technique developed yields singularity free textures,
regardless of the singularities existing in the quadrilateral mesh, gives seamless and
continuous boundaries across textures and provides an aperiodic and interesting look
to the entire textured surface.
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Zahradnik, Roman. "Texturní příznaky." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2007. http://www.nusl.cz/ntk/nusl-236898.
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Aim of this project is to evaluate effectivity of various texture features within the context of image processing, particulary the task of texture recognition and classification. My work focuses on comparing and discussion of usage and efficiency of texture features based on local binary patterns and co- ccurence matrices. As classification algorithm is concerned, cluster analysis was choosen.
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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 artistic problems.
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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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Edwards, James. "Texture analysis : from tactile sensor to an artificial textural concept." Thesis, University of Bristol, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.540898.
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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 used for the clustering in this work.
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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 SchwartzDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação
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
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, análise forense, detecção de pele, entre outras. Estas tarefas dependem fortemente de informação visual extraída de imagens que possa ser utilizada para descrevê-las eficientemente. Textura é uma das principais propriedades usadas para descrever informação tal como distribuição espacial, brilho e arranjos estruturais de superfícies. Para reconhecimento e classificação de imagens, um grande grupo de descritores de textura foi investigado neste trabalho, sendo que apenas parte deles é realmente multiescala. Matrizes de coocorrência em níveis de cinza (GLCM) são amplamente utilizadas na literatura e bem conhecidas como um descritor de textura efetivo. No entanto, este descritor apenas discrimina informação em uma única escala, isto é, a imagem original. Escalas podem oferecer informações importantes em análise de imagens, pois textura pode ser percebida por meio de diferentes padrões em diferentes escalas. Dessa forma, duas estratégias diferentes para estender a matriz de coocorrência para múltiplas escalas são apresentadas: (i) uma representação de escala-espaço Gaussiana, construída pela suavização da imagem por um filtro passa-baixa e (ii) uma pirâmide de imagens, que é definida pelo amostragem de imagens em espaço e escala. Este descritor de textura é comparado com outros descritores em diferentes bases de dados. O descritor de textura proposto e então aplicado em um contexto de detecção de pele, como forma de melhorar a acurácia do processo de detecção. Resultados experimentais demonstram que a extensão multiescala da matriz de coocorrência exibe melhora considerável nas bases de dados testadas, exibindo resultados superiores em relação a diversos outros descritores, incluindo a versão original da matriz de coocorrência em escala única
Abstract: Computer vision and image processing techniques play an important role in several fields, including object detection and image classification, which are very important tasks with applications in medical imagery, remote sensing, forensic analysis, skin detection, among others. These tasks strongly depend on visual information extracted from images that can be used to describe them efficiently. Texture is one of the main used characteristics that describes information such as spatial distribution, brightness and surface structural arrangements. For image recognition and classification, a large set of texture descriptors was investigated in this work, such that only a small fraction is actually multi-scale. Gray level co-occurrence matrices (GLCM) have been widely used in the literature and are known to be an effective texture descriptor. However, such descriptor only discriminates information on a unique scale, that is, the original image. Scales can offer important information in image analysis, since texture can be perceived as different patterns at distinct scales. For that matter, two different strategies for extending the GLCM to multiple scales are presented: (i) a Gaussian scale-space representation, constructed by smoothing the image with a low-pass filter and (ii) an image pyramid, which is defined by sampling the image both in space and scale. This texture descriptor is evaluated against others in different data sets. Then, the proposed texture descriptor is applied in skin detection context, as a mean of improving the accuracy of the detection process. Experimental results demonstrated that the GLCM multi-scale extension has remarkable improvements on tested data sets, outperforming many other feature descriptors, including the original GLCM
Mestrado
Ciência da Computação
Mestre em Ciência da Computação
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Kume, Nelson Yoshiharu. "Texturas plissadas em materiais têxteis: artesanato, técnica e tecnologia." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/100/100133/tde-05072015-181749/.
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O vestuário, tem seu mercado predominantemente norteado por tendências e diferenciais agrega- dos ao produto. Na confecção, estas variáveis são aplicadas ao material têxtil, em sua construção, não tanto nas qualidades internas, mas na aparência. Arranjos sistemáticos na superfície têxtil promovem qualidades táteis e visuais. A textura plissada e sua beleza atemporal é objeto deste estudo. A proposição é percorrer o trabalho histórico para o levantamento das técnicas de produção artesanais e semi-industriais. A partir destas, sistematizar seus conceitos, técnicas e materiais que as reproduzam. Assim, prover aos profissionais e artesãos, conhecimento acessível para o uso em seus serviços e produtos. Artesãos que tem cultuado a arte têxtil a gerações, unem-se à indústria para potencializar suas obras. Artesanalmente, os plissados podem ser reproduzidos a partir de simples materiais de costura domésticos. Os tipos de plissados vão desde os clássicos até os mais elaborados; dos geométricos como os do tipo faca, os orgânicos como os do tipo shibori aos sofisticados como as tesselações. A plissarem semi-industrial, feita com a utilização de fôrmas de papelão permite a reprodução a partir de um padrão. Todos os interessados podem fazer a criação de seus próprios padrões e fôrmas de plissagem com os conceitos de design de superfície e os princípios da dobradura.The clothing has its market predominantly guided by trends and added differentials to the product. In the making, these variables are applied to the textiles in its construction, not so much in inner qualities, but in appearance. Systematic arrangements in the textile surface promote tactile and visual qualities. The pleated texture and its timeless beauty is the subject of this work. The proposition is going through the historical data to survey the handmade and semi-industrial production techniques. From these, systematizing their concepts, techniques and materials to reproduce them. Thus provide professionals and artisans, knowledge accessible for use in your services and products. Artisans who have worshiped the textile art through generations unite in partnership to the industry to enhance their work. Handmade, the pleats can be done with simple household sewing materials. The pleat types range from the classics to the most elaborate; from geometric as knife type and organic as shibori to sophisticated as tessellations. The semi-industrial pleats are made by the use of cardboard molds by which patterns follows chosen standards. Everyone can create an own pattern and pleating molds based on surface design concepts and principles of folding.
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Tavakoli, Targhi Alireza. "The texture-transform an operator for texture detection and discrimination /." Doctoral thesis, Stockholm : Skolan för datavetenskap och kommunikation, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11384.
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Safia, Abdelmounaime. "Développement d’un modèle d’analyse de texture multibande." Thèse, Université de Sherbrooke, 2014. http://hdl.handle.net/11143/5990.
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Résumé : En télédétection, la texture facilite l’identification des classes de surfaces sur des critères de similitude d’organisation spatiale des pixels. Les méthodes d’analyse texturale utilisées en télédétection et en traitement d’image en général sont principalement proposées pour extraire la texture dans une seule bande à la fois. Pour les images multispectrales, ceci revient à extraire la texture dans chaque bande spectrale séparément. Cette stratégie ignore la dépendance qui existe entre la texture des différentes bandes (texture inter-bande) qui peut être une source d’information additionnelle aux côtés de l’information texturale classique intra-bande. La prise en charge de la texture multibande (intra- et inter-bande) engendre une complexité calculatoire importante.
Dans sa recherche de solution pour l’analyse de la texture multibande, ce projet de thèse revient vers les aspects fondamentaux de l’analyse de la texture, afin de proposer un modèle de texture qui possède intrinsèquement une complexité calculatoire réduite, et cela indépendamment de l’aspect multibande de la texture. Une solution pour la texture multibande est ensuite greffée sur ce nouveau modèle, de manière à lui permettre d’hériter de sa complexité calculatoire réduite.
La première partie de ce projet de recherche introduit donc un nouveau modèle l’analyse de texture appelé modèle d’unité texturale compacte (en anglais : Compact Texture Unit, C-TU). Le C-TU prend comme point de départ le modèle de spectre de texture et propose une réduction significative de sa complexité. Cette réduction est atteinte en proposant une solution générale pour une codification de la texture avec la seule information d’occurrence, sans l’information structurelle. En prenant avantage de la grande efficacité calculatoire du modèle de C-TU développé, un nouvel indice qui analyse la texture multibande comme un ensemble indissociable d’interactions spatiales intra- et inter-bandes est proposé. Cet indice, dit C-TU multibande, utilise la notion de voisinage multibande afin de comparer le pixel central avec ses voisins dans la même bande et avec ceux des autres bandes spectrales. Ceci permet à l’indice de C-TU multibande d’extraire la texture de plusieurs bandes simultanément. Finalement, une nouvelle base de données de textures couleurs multibandes est proposée, pour une validation des méthodes texturales multibandes. Une série de tests visant principalement à évaluer la qualité discriminante des solutions proposées a été conduite. L’ensemble des résultats obtenus dont nous faisons rapport ici confirme que le modèle de C-TU proposé ainsi que sa version multibande sont des outils performants pour l’analyse de la texture en télédétection et en traitement d’images en général. Les tests ont également démontré que la nouvelle base de données de textures multibande possède toutes les caractéristiques nécessaires pour être utilisée en validation des méthodes de texture multibande. // Abstract : In multispectral images, texture is typically extracted independently in each band using existing grayscale texture methods. However, reducing texture of multispectral images into a set of independent grayscale texture ignores inter-band spatial interactions which can be a valuable source of information. The main obstacle for characterizing texture as intra- and inter-band spatial interactions is that the required calculations are cumbersome. In the first part of this PhD thesis, a new texture model named the Compact Texture Unit (C-TU) model was proposed. The C-TU model is a general solution for the texture spectrum model, in order to decrease its computational complexity. This simplification comes from the fact that the C-TU model characterizes texture using only statistical information, while the texture spectrum model uses both statistical and structural information. The proposed model was evaluated using a new monoband C-TU descriptor in the context of texture classification and image retrieval. Results showed that the monoband C-TU descriptor that uses the proposed C-TU model provides performances equivalent to those delivered by the texture spectrum model but with much more lower complexity.
The calculation efficiency of the proposed C-TU model is exploited in the second part of this thesis in order to propose a new descriptor for multiband texture characterization. This descriptor, named multiband C-TU, extracts texture as a set of intra- and inter-band spatial interactions simultaneously. The multiband C-TU descriptor is very simple to extract and computationally efficient. The proposed descriptor was compared with three strategies commonly adopted in remote sensing. The first is extracting texture using panchromatic data; the second is extracting texture separately from few newbands obtained by principal components transform; and the third is extracting texture separately in each spectral band. These strategies were applied using cooccurrence matrix and monoband compact texture descriptors. For all experiments, the proposed descriptor provided the best results. In the last part of this thesis, a new color texture images database is developed, named Multiband Brodatz Texture database. Images from this database have two important characteristics. First, their chromatic content, even if it is rich, does not have discriminative value, yet it contributes to form texture. Second, their textural content is characterized by high intra- and inter-band variation. These two characteristics make this database ideal for multiband texture analysis without the influence of color information.
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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 to test the separability of the distributions in each feature space. A measure was developed to evaluate evidence of multiple clusters from the two-point correlation function, making it possible to determine the most suitable feature space for clustering. Thus, at a given resolution level, the most appropriate feature space was selected and used to segment the image. Due to inherent ambiguities and limitations of the two-point correlation function, this feature space exploration and segmentation was performed several times at the same resolution level until no further evidence of multiple clusters was found, at which point, the process was repeated at the next finer resolution level. In this way, the image was progressively segmented, proceeding from coarse to fine Gabor resolution levels without any knowledge of the actual number of textures present. In order to refine the region-labelled image obtained at the end of the segmentation process, two postprocessing pixel-level algorithms were developed and implemented. The first was the mixed pixel classification algorithm which is based on the analysis of the effect of the averaging window at the boundary between two regions and re-assigns the pixel labels to improve the boundary localisation. Multiresolution probabilistic relaxation is the second postprocessing algorithm which we developed. This algorithm incorporates contextual evidence to relabel pixels close to the boundary in order to smooth it and improve its localisation. The results obtained were quantified by known error measures, as well as by new error measures which we developed. The quantified results were compared to similar results by other authors and show that our unsupervised algorithm performs as well as other methods which assume prior information.
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Brooks, S. "Concise texture editing." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.596939.
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Many computer graphics applications remain in the domain of the specialist. They are typically characterized by complex user-directed tasks, often requiring proficiency in design, colour spaces, computer interaction and file management. Furthermore, the demands of this skill set are often exacerbated by an equally complex collection of image or object manipulation commands embedded in a variety of interface components. The complexity of these graphic editing tools often requires that the user possess a correspondingly high level of expertise. Concise Texture Editing is aimed at addressing the over-complexity of modern graphics tools and is based on the intuitive notion that the human user is skilled at high level decision making while the computer is proficient at rapid computation. This thesis has focused on the development of interactive editing tools for 2D texture images and has led to the development of a novel texture manipulation system that allows: • the concise painting of a texture; • the concise cloning of textures; • the concise alteration of-texture element size; The system allows complex operations to be performed on images with minimal user interaction. When applied to the domain of image editing, this implies that the user can instruct the system to perform complex changes to digital images without having to specify copious amounts of detail. In order to reduce the user's workload, the inherent self-similarity of textures is assessed using wavelets and is exploited to interactively replicate editing operations globally over an image. This unique image system thereby reduces the user's workload through semi-automation, resulting in an acutely concise user interface.
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Szummer, Marcin Olof. "Temporal texture modeling." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11210.
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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.Includes bibliographical references (p. 63-67).
by Marcin Olof Szummer.
M.Eng.
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Tang, Xiaoou. "Transform texture classification." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/41007.
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Matthews, Tim. "Semantics of texture." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/418003/.
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In this thesis we investigate means by which the semantic and visual spaces of texture may be tied together, and argue for the importance of explicit semantic modelling inhuman-centred texture analysis tasks such as retrieval, annotation, synthesis, and zeroshot learning. We take a new approach to semantic texture labelling by adopting a pairwise comparison framework robust to human biases, and within a semantic space consisting of attributes,low-level visual features acting as building blocks for more expressive semantic ontologies. We crowdsource a dataset of approximately 140;000 pairwise comparisons across 319 classes of texture and 98 attributes | to our knowledge the largest of its kind. To aid in learning from sparsely labelled pairwise comparison datasets such as this we derive a new Bayesian probabilistic approach, providing a natural framework in which to incorporate prior knowledge and to measure uncertainty, and outperforming the often used Ranking SVM on incomplete and unreliable data. We demonstrate how the error variance present in our pairwise comparison data may be precisely quantified, allowing us to identify and discard rogue responses in a principled way. Existing texture descriptors are then assessed in terms of their correspondence to the attributes comprising the semantic space. Textures with strong presence of attributes connoting randomness and complexity are shown to be poorly modelled by existing descriptors. These effects are likely due to disparities between human perception of what texture entails, and definitions adopted prior to (or, sometimes, after) the design of computational texture analysis systems. Despite the decifiencies of the visual descriptors they are based upon, we demonstrate the benefit of semantically enriched descriptors in a retrieval experiment. Semantic modelling of texture is shown to provide considerable value in both feature selection and in analysis tasks.
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Lasram, Anass. "Exploration et rendu de textures synthétisées." Thesis, Université de Lorraine, 2012. http://www.theses.fr/2012LORR0183/document.
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La synthèse de textures est une technique qui génère une texture automatiquement grâce à un algorithme. Cette technique permet de réduire le temps de création des textures et le coût mémoire étant donné que seuls les algorithmes et leurs paramètres ont besoin d'être stockés. Cependant, des difficultés sont souvent rencontrées lors de l'utilisation des textures synthétisées. D'abord, les paramètres de ces textures sont difficiles à manipuler. Ensuite, l'algorithme de synthèse génère souvent les textures sous forme de tableaux de pixels nécessitant beaucoup de mémoire. Pour aborder ces difficultés, nous proposons les approches suivantes : pour améliorer la visualisation de l'espace des textures synthétisées, nous proposons de construire un résumé de cet espace: une seule image statique qui résume, dans un espace limité de pixels, les apparences produites par un synthétiseur donné. De plus, pour améliorer la sélection de paramètres, nous augmentons les curseurs qui contrôlent les paramètres avec des bandes visuelles révélant les changements qui se produisent quand l'utilisateur manipule les curseurs. Pour permettre à l'utilisateur d'interagir de manière interactive avec les résumés visuels, nous nous reposons sur un algorithme de synthèse par patch permettant de générer les textures de façon rapide grâce à une implémentation parallèle sur le processeur graphique. Au lieu de générer le résultat de ce synthétiseur sous forme d'un tableau de pixels, nous représentons le résultat dans une structure compacte et nous utilisons une méthode rapide permettant de lire des pixels directement à partir de cette structureTexture synthesis is a technique that algorithmically generates textures at rendering time. The automatic synthesis reduces authoring time and memory requirements since only the algorithm and its parameters need to be stored or transferred. However, two difficulties often arise when using texture synthesis: First, the visualization and parameters selection of synthesized textures are difficult. Second, most synthesizers generate textures in a bitmap format leading to high memory usage. To address these difficulties we propose the following approaches: First, to improve the visualization of synthesized textures we propose the idea of a procedural texture preview: A single static image summarizing in a limited pixel space the appearances produced by a given synthesizer. The main challenge is to ensure that most appearances are visible, are allotted a similar pixel area, and are ordered in a smooth manner throughout the preview. Furthermore, to improve parameters selection we augment sliders controlling parameters with visual previews revealing the changes that will be introduced upon manipulation. Second, to allow user interactions with these visual previews we rely on a fast patch-based synthesizer. This synthesizer achieves a high degree of parallelism and is implemented entirely on the GPU. Finally, rather than generating the output of the synthesizer as a bitmap texture we encode the result in a compact representation and allow to decoding texels from this representation during rendering
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Armand, Claudine Tissot Roland. "Texte et texture la production littéraire et picturale d'Anne Ryan /." [S.l.] : [s.n.], 1998. http://theses.univ-lyon2.fr/Theses/ccarmand/tdm.html.
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Chierici, Carlos Eduardo de Oliveira. "Classificação de texturas com diferentes orientações baseada em descritores locais." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-27102015-103555/.
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Diversas abordagens vêm sendo empregadas para a descrição de texturas, entre elas a teoria dos conjuntos fuzzy e lógica fuzzy. O Local Fuzzy Pattern (LFP) é um descritor de texturas diferente dos demais métodos baseados em sistemas fuzzy, por não utilizar regras linguísticas e sim números fuzzy que são usados na codificação de um padrão local de escala de cinza. Resultados anteriores indicaram o LFP como um descritor eficaz para a classificação de texturas a partir de amostras rotacionadas ou não. Este trabalho propõe uma análise mais abrangente sobre sua viabilidade para aplicação em cada um desses problemas, além de propor uma modificação a este descritor, adaptando-o para a captura de padrões em multiresolução, o Sampled LFP. A avaliação da performance do LFP e do Sampled LFP para o problema de classificação de texturas foi feita através da aplicação de uma série de testes envolvendo amostras de imagens rotacionadas ou não das bases de imagens Outex, álbum de Brodatz e VisTex, onde a sensibilidade obtida por esses descritores foi comparada com um descritor de referência, a variante do Local Binary Pattern (LBP) melhor indicada para o teste em execução. Os resultados apontaram o LFP como um descritor não indicado para aplicações que trabalhem exclusivamente com amostras não rotacionadas, visto que o LBP mostrou maior eficácia para este tipo de problema. Já para a análise de amostras rotacionadas, o Sampled LFP se mostrou o melhor descritor entre os comparados. Todavia, foi verificado que o Sampled LFP somente supera o LBP para resoluções de análise maiores ou iguais a 32x32 pixels e que o primeiro descritor é mais sensível ao número de amostras usadas em seu treinamento do que o segundo, sendo, portanto, um descritor indicado para o problema de classificação de amostras rotacionadas, onde seja possível trabalhar com imagens a partir de 32x32 pixels e que o número de amostras utilizadas para treinamento seja maximizado.Several approaches have been employed for describing textures, including the fuzzy sets theory and fuzzy logic. The Local Fuzzy Pattern is a texture descriptor different from other methods based on fuzzy systems, which use linguistic rules to codify a texture. Instead, fuzzy numbers are applied in order to encode a local grayscale pattern. Previous results indicated the LFP as an effective descriptor employed to characterize statically oriented and rotated textures samples. This paper proposes a more comprehensive analysis of its feasibility for use in each of these problems, besides proposing a modification to this descriptor, adapting it to capture patterns in multiresolution, the Sampled LFP. The LFP and Sampled LFP performance evaluation when applied to the problem of texture classification was conducted by applying a series of tests involving images samples, rotated or not, from image databases such as Outex, the Brodatz album and Vistex, where the sensitivity obtained by these descriptors were compared with a reference descriptor, the variant Local Binary Pattern (LBP) best suited to running the test. The results indicated the LFP as a descriptor not suitable for applications who work exclusively with non-rotated samples, since the LBP showed greater efficacy for this problem kind. As for rotated samples analysis, the Sampled LFP proved the best descriptor among those compared. However, it was determined that the Sampled LFP only overcomes the LBP when the analysis resolutions are greater or equal to 32x32 pixels, besides that, the first descriptor is more sensitive to the number of training samples than the latter, therefore, this descriptor is indicated for the problem of rotated samples classification, where it is possible to work with resolution from 32x32 pixels while maximizing the number of samples used for training.
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Bidesi, Anup Singh. "Comparison of texture classification methods to evaluate spongy bone texture in osteoporosis /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1422912.
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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 - LMP) com a teoria de cores oponentes; Color Intensity Local Mapped Pattern (CILMP), que extrai as informações de cor e textura de maneira integrada, levando em consideração a textura da cor, combinando estas informações com características da luminância da textura em uma análise multiresolução; e Extended Color Local Mapped Pattern (ECLMP), que utiliza dois operadores para extrair informações de cor e textura de forma integrada (textura da cor) combinadas com informações apenas de textura (sem cor) de uma imagem. Todos esses novos descritores propostos são paramétricos e, sendo o ajuste ótimo de seus parâmetros não trivial, o processo exige um tempo excessivo de computação. Portanto, foi proposto nesta tese a utilização de algoritmos genéticos para o ajuste automático dos parâmetros. A avaliação dos descritores propostos foi realizada em duas bases de dados de texturas coloridas com variação de iluminação: RawFooT (Raw Food Texture Database) e KTH-TIPS- 2b (Textures under varying Illumination, Pose and Scale Database), utilizando-se um classificador. Os resultados experimentais mostraram que os descritores propostos são mais robustos à variação de iluminação do que outros decritores de textura comumente utilizados na literatura. Os descritores propostos apresentaram um desempenho superior aos descritores comparados em 15% na base de dados RawFooT e 4% na base de dados KTH-TIPS-2b.Color texture classification under varying illumination remains a challenge in the computer vision field, and it greatly relies on the efficiency at which the texture descriptors capture discriminant features, independent of the illumination condition. The aim of this thesis is to improve the classification of color texture acquired with varying illumination sources. We propose three new color texture descriptors, namely: the Opponent Color Local Mapped Pattern (OCLMP), which combines a local methodology (LMP) with the opponent colors theory, the Color Intensity Local Mapped Pattern (CILMP), which extracts color and texture information jointly, in a multi-resolution fashion, and the Extended Color Local Mapped Pattern (ECLMP), which applies two operators to extract color and texture information jointly as well. As the proposed methods are based on the LMP algorithm, they are parametric functions. Finding the optimal set of parameters for the descriptor can be a cumbersome task. Therefore, this work proposes the use of genetic algorithms to automatically adjust the parameters. The methods were assessed using two data sets of textures acquired using varying illumination sources: the RawFooT (Raw Food Texture Database), and the KTH-TIPS-2b (Textures under varying Illumination, Pose and Scale Database). The experimental results show that the proposed descriptors are more robust to variations to the illumination source than other methods found in the literature. The improvement on the accuracy was higher than 15% on the RawFoot data set, and higher than 4% on the KTH-TIPS-2b data set.
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Li, Tukun. "Softgauges for surface texture." Thesis, University of Huddersfield, 2011. http://eprints.hud.ac.uk/id/eprint/11357/.
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Surface texture plays an important role in the specification of a precision workpiece. However, the route of traceability for surface texture measurements is not well developed. One of the main technical obstacles is the lack of tools to check traceability of the software of surface measuring instruments and to estimate uncertainty contributed by the software. To this end, the concept of softgauges (i.e. software measurement standards) for surface texture has been introduced into the international standards. The presented thesis documents the realisation of softgauges for surface texture, which is a part of the National Measurement System in the UK. These standards, in the form of the reference dataset with reference results, have been developed by both simulation and experimental methods. The analysis of software uncertainty has been undertaken. These measurement standards have been used to verify both reference software(developed by the National Measurement Institutes) and commercial packages (developed by instrument manufacturers). In addition, the evaluation of the measurement uncertainty in workshop level has been carried on. These developed standards provided a novel route to demonstrate metrological traceability of most surface profile parameters. Currently, these standards are distributed via the internet by the National Measurement Laboratory (NPL) in the UK. These standards are also recognised by NIST in the USA and PTB in Germany, and these organisations would also provide a suitable vehicle to distribute of the results of this study.
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Huber, Alastair. "The texture of time." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ39664.pdf.
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Chauvin, Maite Andrea. "Food texture and perception." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Fall2007/m_chauvin_101607.pdf.
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Reyes-Aldasoro, Constantino Carlos. "Multiresolution volumetric texture segmentation." Thesis, University of Warwick, 2004. http://wrap.warwick.ac.uk/67756/.
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This thesis investigates the segmentation of data in 2D and 3D by texture analysis using Fourier domain filtering. The field of texture analysis is a well-trodden one in 2D, but many applications, such as Medical Imaging, Stratigraphy or Crystallography, would benefit from 3D analysis instead of the traditional, slice-by-slice approach. With the intention of contributing to texture analysis and segmentation in 3D, a multiresolution volumetric texture segmentation (M-VTS) algorithm is presented. The method extracts textural measurements from the Fourier domain of the data via sub-band filtering using a Second Orientation Pyramid. A novel Bhattacharyya space, based on the Bhattacharyya distance is proposed for selecting of the most discriminant measurements and produces a compact feature space. Each dimension of the feature space is used to form a Quad Tree. At the highest level of the tree, new positional features are added to improve the contiguity of the classification. The classified space is then projected to lower levels of the tree where a boundary refinement procedure is performed with a 3D equivalent of butterfly filters. The performance of M-VTS is tested in 2D by classifying a set of standard texture images. The figures contain different textures that are visually stationary. M-VTS yields lower misclassification rates than reported elsewhere ([104, 111, 124]). The algorithm was tested in 3D with artificial isotropic data and three Magnetic Resonance Imaging sets of human knees with satisfactory results. The regions segmented from the knees correspond to anatomical structures that could be used as a starting point for other measurements. By way of example, we demonstrate successful cartilage extraction using our approach.
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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 fractal dimension is made. Using this set of features, supervised and unsupervised, statistical processing schemes are presented which produce low classification error rates. Natural texture images are examined with particular application to the analysis of sonar images of the seabed. A number of processes based on fractal models for texture synthesis are also presented. These are used to produce realistic images of natural textures, again with particular reference to sonar images of the seabed, and which show the importance of phase and directionality in our perception of texture. A further extension is shown to give possible uses for image coding and object identification.
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Towers, Peter A. "Texture measurement of caramels." Thesis, University of Reading, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241577.
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Porter, Robert Mark Stefan. "Texture classification and segmentation." Thesis, University of Bristol, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389032.
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Beilharz, Daniel. "Liquids guided by texture." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLX119.
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Lorsqu'un liquide mouillant touche un solide, on observe un ménisque de taille millimétrique. Si le solide est rugueux à une échelle submillimétrique, le liquide peut progresser le long des aspérités sur une distance qui est potentiellement illimitée si le solide est horizontal. Nous modélisons la rugosité avec des piliers cylindriques et montrons que quelques cylindres seulement suffisent à transporter et guider précisément un liquide. Nous étudions la dynamique macroscopique et microscopique de l'invasion. Nous examinons ensuite combien de liquide s'accumule dans une variété de textures et proposons un nouveau type de détergence pour extraire le liquide de la rugosité. Nous prenons aussi la gravité en compte et l'utilisons d'abord pour démontrer que plusieurs fronts liquides peuvent être observés simultanément dans des porosités multi-échelles. Nous nous intéressons enfin aux ponts capillaires millimétriques et nous dédions notre dernier chapitre à leur dynamique de croissance radialeWhen a wetting liquid contacts a solid, we observe a liquid meniscus of millimetric size. If the solid is rough at a submillimetric scale, the liquid may progress along the asperities for a potentially unlimited distance if the solid is horizontal. We model the roughness with a regular texture and show that a low number of surface features is sufficient to transport and precisely guide a liquid. We study the macroscopic and microscopic dynamics of the invasion. We examine then how much liquid accumulates in a variety of texture and propose a new kind of detergency to remove the liquid from the roughness. We also consider the influence of gravity and use it to demonstrate that multiple liquid fronts can be observed simultaneously in porosities of different scales. Then we turn our attention to millimetric capillary bridges and dedicate our last chapter to explain their dynamics of radial growth with the Cox-Voinov model
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Parker, Dawn Louise. "The Texture of Place." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/45442.
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Can texture embody the idea of a place? Or does a
place provide meaning to the textures used to construct
it? This thesis seeks to explore the contribution
of texture to our understanding of, and relationship
with, the built environment. To test this, a mixed
use program will be explored in the neighborhood of
Mount Vernon Square in Washington, DC.Master of Architecture
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Haddad, Stephen. "Texture measures for segmentation." Master's thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/7461.
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Includes bibliographical references (p. 67-72).Texture is an important visual cue in both human and computer vision. Segmenting images into regions of constant texture is used in many applications. This work surveys a wide range of texture descriptors and segmentation methods to determine the state of the art in texture segmentation. Two types of texture descriptors are investigated: filter bank based methods and local descriptors. Filter banks deconstruct an image into several bands, each of which emphasises areas of the image with different properties. Textons are an adaptive histogram method which describes the distribution of typical feature vectors. Local descriptors calculate features from smaller neighbourhoods than filter banks. Some local descriptors calculate a scale for their local neighbourhood to achieve scale invariance. Both local and global segmentation methods are investigated. Local segmentation methods consider each pixel in isolation. Global segmentation methods penalise jagged borders or fragmented regions in the segmentation. Pixel labelling and border detection methods are investigated. Methods for measuring the accuracy of segmentation are discussed. Two data sets are used to test the texture segmentation algorithms. The Brodatz Album mosaics are composed of grayscale texture images from the Brodatz Album. The Berkeley Natural Images data set has 300 colour images of natural scenes. The tests show that, of the descriptors tested, filter bank based textons are the best texture descriptors for grayscale images. Local image patch textons are best for colour images. Graph cut segmentation is best for pixel labelling problems and edge detection with regular borders. Non-maxima suppression is best for edge detection with irregular borders. Factors affecting the performance of the algorithms are investigated.
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Dong, Xinghui. "Perceptual texture similarity estimation." Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2809.
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This thesis evaluates the ability of computational features to estimate perceptual texture similarity. In the first part of this thesis, we conducted two evaluation experiments on the ability of 51 computational feature sets to estimate perceptual texture similarity using two differ-ent evaluation methods, namely, pair-of-pairs based and retrieval based evaluations. These experiments compared the computational features to two sets of human derived ground-truth data, both of which are higher resolution than those commonly used. The first was obtained by free-grouping and the second by pair-of-pairs experiments. Using these higher resolution data, we found that the feature sets do not perform well when compared to human judgements. Our analysis shows that these computational feature sets either (1) only exploit power spectrum information or (2) only compute higher order statistics (HoS) on, at most, small local neighbourhoods. In other words, they cannot capture aperiodic, long-range spatial relationships. As we hypothesise that these long-range interactions are important for the human perception of texture similarity we carried out two more pair-of-pairs ex-periments, the results of which indicate that long-range interactions do provide humans with important cues for the perception of texture similarity. In the second part of this thesis we develop new texture features that can encode such data. We first examine the importance of three different types of visual information for human perception of texture. Our results show that contours are the most critical type of information for human discrimination of textures. Finally, we report the development of a new set of contour-based features which performed well on the free-grouping data and outperformed the 51 feature sets and another contour type feature set with the pair-of-pairs data.
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Wickramanayake, Dhammike Saranath. "Transform domain texture synthesis." Thesis, Loughborough University, 2005. https://dspace.lboro.ac.uk/2134/34552.
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Developments in digital cinema and computer games industry have required for fast texture synthesis algorithms that are capable of synthesizing better quality textures. Unfortunately most of the existing state-of-the-art algorithms suffer from excessive complexity related issues resulting in high synthesis times. This thesis proposes seven novel algorithms in order to address the existing problems in sample-based texture synthesis. All the proposed algorithms use visually significant transform coefficients within texture synthesis and thus effectively exploit the limitations of the human visual system (HVS). This thesis proposes four algorithms that use the Discrete Wavelet Transform (DWT) for extracting visually significant information within the texture synthesis process.
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Xie, Xia. "Caractérisation structurelle et statistique de la texture pour la reconnaissance d'images de textures macroscopiques." Compiègne, 1990. http://www.theses.fr/1990COMPD282.
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Les méthodes d'analyse de textures macroscopiques proposées dans ce mémoire sont composées de deux parties : la partie d'extraction de primitives et la partie d'extraction des arrangements spatiaux des primitives. La première partie est réalisée en cinq étapes : seuillage, extraction de contours, suivi de contours, calcul des attributs de primitives et séparation des primitives compactes. La seconde partie est réalisée avec deux méthodes. La méthode des Vecteurs de Densités de Primitives estime la densité d'apparition des différentes classes de primitives. Et la méthode des Matrices de co-occurrence Généralisées estime la probabilité conjointe des propriétés des couples de primitives séparées par une relation spatiale. La méthode de segmentation des textures microscopiques est fondée sur la modélisation de champ de Markov. La dépendance entre un pixel et ses voisins est exprimée dans le modèle par un vecteur d'attributs calculé à partir de la longueur curviligne et du nombre des extrama locaux du signal de luminance dans un intervalle fixé le long d'un axe d'orientation définie dans le plan d'image. Les différents modèles sont proposés pour la segmentation avec ou sans connaissance a priori.
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Kolena, Robert. "Využití hodnocení textury povrchu při výrobě revolveru." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417545.
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This diploma thesis addresses the issue of using the evaluation of surface texture in the manufacture of revolver with aplication to a cock. It deals with the detection of imperfections of production operations, the proposal of corrective measures and its implementation. The use of new grinding wheel was chosen as a corrective measure. The Rzmax parameter was used to specify the surface texture after miling and a combination of the Rzmax and Rpmax parameters was used to specify surface texture after grinding.
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PASSOS, Vladimir Alves dos. "Bidimensional and tridimensional sample based synthesis of vectorial elements distribution patterns." Universidade Federal de Pernambuco, 2010. https://repositorio.ufpe.br/handle/123456789/2334.
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Previous issue date: 2010Conselho Nacional de Desenvolvimento Científico e Tecnológico
Nós apresentamos um método eficiente para síntese de padrões definidos como uma coleção de elementos vetoriais bidimensionais, a partir de uma amostra do padrão. Soluções recentes para este problema fazem uso de triangulação da entrada ou de medidas estatísticas da amostra para controlar o estágio de síntese. Nós propomos um método aplicável a texturas coloridas, desde regular até estocásticas, e que provê controle local sobre a densidade dos elementos. A amostra é segmentada em grupos de elementos similares e definimos uma nova métrica, que não ignora elementos isolados, para cálculo de distância entre vizinhanças de elementos, para comparar vizinhanças diferentes e incompletas. O laço principal de síntese consiste em um crescimento procedural, onde sementes são substituídas por referências a elementos da amostra, gerando novas sementes até que o espaço de síntese seja preenchido. Os resultados mostram a mesma qualidade visual de trabalhos anteriores, e resolvem padrões não abordados em trabalhos anteriores. Nós também mostramos que este método pode ser estendido para sintetizar padrões vetoriais sobre malhas poligonais
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Lasram, Anass. "Exploration et rendu de textures synthétisées." Electronic Thesis or Diss., Université de Lorraine, 2012. http://www.theses.fr/2012LORR0183.
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La synthèse de textures est une technique qui génère une texture automatiquement grâce à un algorithme. Cette technique permet de réduire le temps de création des textures et le coût mémoire étant donné que seuls les algorithmes et leurs paramètres ont besoin d'être stockés. Cependant, des difficultés sont souvent rencontrées lors de l'utilisation des textures synthétisées. D'abord, les paramètres de ces textures sont difficiles à manipuler. Ensuite, l'algorithme de synthèse génère souvent les textures sous forme de tableaux de pixels nécessitant beaucoup de mémoire. Pour aborder ces difficultés, nous proposons les approches suivantes : pour améliorer la visualisation de l'espace des textures synthétisées, nous proposons de construire un résumé de cet espace: une seule image statique qui résume, dans un espace limité de pixels, les apparences produites par un synthétiseur donné. De plus, pour améliorer la sélection de paramètres, nous augmentons les curseurs qui contrôlent les paramètres avec des bandes visuelles révélant les changements qui se produisent quand l'utilisateur manipule les curseurs. Pour permettre à l'utilisateur d'interagir de manière interactive avec les résumés visuels, nous nous reposons sur un algorithme de synthèse par patch permettant de générer les textures de façon rapide grâce à une implémentation parallèle sur le processeur graphique. Au lieu de générer le résultat de ce synthétiseur sous forme d'un tableau de pixels, nous représentons le résultat dans une structure compacte et nous utilisons une méthode rapide permettant de lire des pixels directement à partir de cette structureTexture synthesis is a technique that algorithmically generates textures at rendering time. The automatic synthesis reduces authoring time and memory requirements since only the algorithm and its parameters need to be stored or transferred. However, two difficulties often arise when using texture synthesis: First, the visualization and parameters selection of synthesized textures are difficult. Second, most synthesizers generate textures in a bitmap format leading to high memory usage. To address these difficulties we propose the following approaches: First, to improve the visualization of synthesized textures we propose the idea of a procedural texture preview: A single static image summarizing in a limited pixel space the appearances produced by a given synthesizer. The main challenge is to ensure that most appearances are visible, are allotted a similar pixel area, and are ordered in a smooth manner throughout the preview. Furthermore, to improve parameters selection we augment sliders controlling parameters with visual previews revealing the changes that will be introduced upon manipulation. Second, to allow user interactions with these visual previews we rely on a fast patch-based synthesizer. This synthesizer achieves a high degree of parallelism and is implemented entirely on the GPU. Finally, rather than generating the output of the synthesizer as a bitmap texture we encode the result in a compact representation and allow to decoding texels from this representation during rendering
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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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Baldino, Jenna Michelle. "Alexandria Textile Factory." Thesis, Virginia Tech, 2008. http://hdl.handle.net/10919/33233.
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The fabric of the city.
A folded roof plane.
Textile brick.
The density of a weave.
A fabric's structure.
A hem's meter.
The selvage.
The fringe.
Weaving.
The connections drawn between textiles and architecture are limitless.
Can a building and the processes that occur within it stitch together the holes in a city?
The project explores the relationship between weaving and architecture. Can all aspects of the building - from spatial sequences and circulation to structure and skin - be woven?Master of Architecture
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Ye, Andy G. "Procedural texture mapping on FPGAs." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0001/MQ45615.pdf.
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Veryovka, Oleg. "Texture control in digital halftoning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0016/NQ46940.pdf.
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Li, Dongyang. "Texture formation in iron electrodeposits." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=29076.
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The texture of electrodeposits has attracted increasing interest, as it is recognized that it is a possible to benefit from the texture and to improve the various properties of electrodeposits or electrolytic coatings. For example, the corrosion resistance of materials is affected by texture. If appropriate textures are introduced in electrodeposited coatings, their corrosion resistance would be enhanced and the coatings will therefore have a longer service time. Texture development during electrodeposition is still poorly understood, and this makes it difficult to control the texture formation during the electrodeposition processes. In order to better understand the texture formation during electrodeposition, extensive theoretical and experimental investigation are undertaken in this thesis.A computer model was proposed to describe texture development. In this model, the microstructure of deposit was represented using a two dimensional triangle lattice. The deposit growth was modelled as previously empty lattice sites are being occupied based on fundamental physical rules. The author proposed that the main driving force for the development of microstructure and texture is the minimization of the system's free energy. This results in texture development, and the minimization of the free energy includes deposit's surface energy and occasionally the magnetic energy. Based on this hypothesis, the texture formation during iron electrodeposition and its variation with the deposition condition were simulated. It was demonstrated that the crystallographic anisotropy of deposit's surface energy plays an important role in the formation of the deposit's fibre texture. The study also indicated that the surface-energy anisotropy could be modified by hydrogen co-deposition and the deposit's texture can be modified by varying the current density, temperature, or pH value of the bath. In addition, the study illustrated that the magnetization energy also plays an important role in texture development during electrodeposition of magnetic materials. When external magnetic fields of sufficient strength are applied during the deposition of magnetic materials, the magnetic fields align grains in such a way that the deposits' fibre textures may transform to non-fibre textures.
In order to further justify the minimum-energy texturing mechanism proposed in the model, and to obtain a clear physical picture of the texture formation during electrodeposition, the process of texture development was analyzed using classical thermodynamics. Various experiments were conducted to verify the computer simulation. A positive correlation between the results of the simulation and the experiments were found.
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Varma, Manik. "Statistical approaches to texture classification." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.414302.
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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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Rowe, Dale Christopher. "Face recognition using skin texture." Thesis, University of Kent, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528278.
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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 encoding. Texture synthesis is the process of generating textures from a sample or parameter set, and thus if these texture regions can be encoded by spec- ifying texture synthesis at the decoder, it may be possible to save large amounts of data, without detriment to the decoded image quality. This thesis presents a number of adaptations to the Graphcut patch based texture synthesis method, to make it suitable for constrained synthesis of texture regions in natural images. This includes a colour matching process to account for luminance and chrominance changes over the texture region, and a modification to allow constrained synthesis of an arbitrarily shaped region. This architecture is then integrated into two complete image compression by synthesis systems based on JPEG and JPEG2000 respectively. In each case the image is segmented, anal- ysed and synthesis occurs at the decoder to fill in removed texture regions. In the system based on JPEG2000 a feedback loop is included which makes some assess- ment of the quality of the synthesis at the encoder in order to adapt the synthesis parameters to improve the result quality, or to skip synthesis entirely if deemed necessary. The results of these systems show some promise in that substantial savings can be made over transform coded images coded at the same Q value as the residual image. However it is observed that synthesis can be detrimental to the quality of the image in comparison to an equivalent traditionally coded image at the same bitrate. Two methods of texture orientation analysis for non-homogeneous textures are presented. One of these in particular produces a good assessment of the texture orientation. This method uses a Steerable Pyramid transform to analyse the orientations. Then, two methods of sample selection and synthesis using the analysed texture orientation are presented. These methods aim to recreate the original texture's orientation variation from a smaller texture sample and the orientation map. The best of these methods selects one or more samples containing multiple orientations and selects texture patches appropriately oriented to the current location of synthesis.
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Pongratananukul, Nattorn. "Texture Segmentation Using Fractal Features." Honors in the Major Thesis, University of Central Florida, 2000. http://digital.library.ucf.edu/cdm/ref/collection/ETH/id/677.
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This item is only available in print in the UCF Libraries. If this is your Honors Thesis, you can help us make it available online for use by researchers around the world by following the instructions on the distribution consent form at http://library.ucfBachelors
Engineering
Electrical Engineering
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Dong, Junyu. "Three-dimensional surface texture synthesis." Thesis, Heriot-Watt University, 2003. http://hdl.handle.net/10399/427.
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Dakin, S. C. "The visual representation of texture." Thesis, University of Stirling, 1994. http://hdl.handle.net/1893/3503.
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This research is concerned with texture: a source of visual information, that has motivated a huge amount of psychophysical and computational research. This thesis questions how useful the accepted view of texture perception is. From a theoretical point of view, work to date has largely avoided two critical aspects of a computational theory of texture perception. Firstly, what is texture? Secondly, what is an appropriate representation for texture? This thesis argues that a task dependent definition of texture is necessary, and proposes a multi-local, statistical scheme for representing texture orientation. Human performance on a series of psychophysical orientation discrimination tasks are compared to specific predictions from the scheme. The first set of experiments investigate observers' ability to directly derive statistical estimates from texture. An analogy is reported between the way texture statistics are derived, and the visual processing of spatio-luminance features. The second set of experiments are concerned with the way texture elements are extracted from images (an example of the generic grouping problem in vision). The use of highly constrained experimental tasks, typically texture orientation discriminations, allows for the formulation of simple statistical criteria for setting critical parameters of the model (such as the spatial scale of analysis). It is shown that schemes based on isotropic filtering and symbolic matching do not suffice for performing this grouping, but that the scheme proposed, base on oriented mechanisms, does. Taken together these results suggest a view of visual texture processing, not as a disparate collection of processes, but as a general strategy for deriving statistical representations of images common to a range of visual tasks.
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Southam, Paul. "Texture analysis with the sieve." Thesis, University of East Anglia, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.426347.
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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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