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Konik, Hubert. "Contribution de l'approche pyramidale à la segmentation des images texturées". Saint-Etienne, 1994. http://www.theses.fr/1994STET4018.
Pełny tekst źródłaGermain, Christian. "Contribution à la caractérisation multi-échelle de l'anisotropie des images texturées". Phd thesis, Université Sciences et Technologies - Bordeaux I, 1997. http://tel.archives-ouvertes.fr/tel-00166497.
Pełny tekst źródłaLe premier chapitre définit la notion de texture et celle d'échelle d'observation. Les différentes approches de caractérisation texturale existantes sont présentées et leur aptitude à rendre compte des phénomènes directionnels à différentes échelles d'observation est évaluée.
Le second chapitre présente les méthodes les plus courantes pour l'estimation de l'orientation dominante d'une texture. Un indicateur local est ensuite proposé : le Vecteur Directionnel Moyen. Il s'appuie sur des caractéristiques locales et peut être calculé à toute échelle d'observation. Ses performances sont étudiées sur des images de synthèse et sur des textures naturelles.
Le troisième chapitre introduit un nouvel indicateur d'anisotropie nommé Iso. Il est basé sur le calcul des différences locales des Vecteurs Directionnels Moyens obtenus à une échelle donnée. Ses performances sont comparées à celles des estimateurs classiques de dispersion directionnelle.
Le dernier chapitre est consacré à l'évaluation de l'anisotropie de textures complexes (microscopiques et macroscopiques) en fonction de l'échelle d'observation. Un modèle de texture complexe est construit et le comportement de l'indicateur Iso sur ce modèle est établi. L'indicateur est ensuite appliqué à la caractérisation de textures naturelles et de synthèse. Il est ensuite montré que l'évolution de cet indicateur en fonction de l'échelle d'observation fournit une courbe qui caractérise à la fois l'anisotropie de la texture traitée ainsi que la taille des différentes primitives texturales microscopiques et macroscopiques formant cette texture. L'indicateur Iso , calculé à différentes échelles, est appliqué à des textures synthétiques, à des textures de l'album de Brodatz ainsi qu'à des images de matériaux composites observés par microscopie électronique à transmission.
Faucheux, Cyrille. "Segmentation supervisée d'images texturées par régularisation de graphes". Thesis, Tours, 2013. http://www.theses.fr/2013TOUR4050/document.
Pełny tekst źródłaIn this thesis, we improve a recent image segmentation algorithm based on a graph regularization process. The goal of this method is to compute an indicator function that satisfies a regularity and a fidelity criteria. Its particularity is to represent images with similarity graphs. This data structure allows relations to be established between similar pixels, leading to non-local processing of the data. In order to improve this approach, combine it with another non-local one: the texture features. Two solutions are developped, both based on Haralick features. In the first one, we propose a new fidelity term which is based on the work of Chan and Vese and is able to evaluate the homogeneity of texture features. In the second method, we propose to replace the fidelity criteria by the output of a supervised classifier. Trained to recognize several textures, the classifier is able to produce a better modelization of the problem by identifying the most relevant texture features. This method is also extended to multiclass segmentation problems. Both are applied to 2D and 3D textured images
Yum-Oh, Suk. "Utilisation de l'information de phase en segmentation et classification des images texturées". La Rochelle, 1995. http://www.theses.fr/1995LAROS003.
Pełny tekst źródłaFormont, Pierre. "Outils statistiques et géométriques pour la classification des images SAR polarimétriques hautement texturées". Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00983304.
Pełny tekst źródłaFormont, P. "Outils statistiques et géométriques pour la classification des images SAR polarimétriques hautement texturées". Phd thesis, Supélec, 2013. http://tel.archives-ouvertes.fr/tel-01020050.
Pełny tekst źródłaJoseph, Pierre. "Etude expérimentale du glissement sur surfaces lisses et texturées". Paris 6, 2005. http://www.theses.fr/2005PA066214.
Pełny tekst źródłaPaulhac, Ludovic. "Outils et méthodes d'analyse d'images 3D texturées : application à la segmentation des images échographiques". Phd thesis, Université François Rabelais - Tours, 2009. http://tel.archives-ouvertes.fr/tel-00576507.
Pełny tekst źródłaNguyen, Tien Sy. "Extraction de structures fines sur des images texturées : application à la détection automatique de fissures sur des images de surface de chaussées". Phd thesis, Université d'Orléans, 2010. http://tel.archives-ouvertes.fr/tel-00592482.
Pełny tekst źródłaKaroui, Imen. "Segmentation par méthodes markoviennes et variationnelles des images texturées : application à la caractérisation sonar des fonds marins". Télécom Bretagne, 2007. http://www.theses.fr/2007TELB0035.
Pełny tekst źródłaThis work is concerned with the characterization and the segmentation of high resolution sonar images. We are interested in the texture information within these images. The report is divided into three parts. The two former parts are concerned with natural texture analysis in general. The third one presents an application to sonar image segmentation. In the first part, we describe texture by a set of empirical distribution estimated on texture responses to a set of different filters computed for different parameterizations. We fuse the contribution of the different features using a weighting scheme: we define a new similarity measure between textures, as a weighted sum of Kullback-Leibler divergence between texture features. The weights are estimated according to global margin maximization criterion. According to weight values, we select the most discriminating features. In the second part, we exploit this similarity measure to develop supervised and unsupervised segmentation algorithms. We propose two segmentation methods: one "pixel-based" method formulated in a bayesian based Markov Random Field (MRF) framework and a variational "region-based" approach implemented with the level set technique. In the third part, we present an application to the characterization and the segmentation of sonar images. We show sidescan sonar feature dependency with incidence angles and we describe the modification of our similarity measure and our segmentation algorithms to take into account the angular feature dependency
Achddou, Raphaël. "Synthetic learning for neural image restoration methods". Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAT006.
Pełny tekst źródłaPhotography has become an important part of our lives. In addition, expectations in terms of image quality are increasing while the size of imaging devices is decreasing. In this context, the improvement of image processing algorithms is essential.In this manuscript, we are particularly interested in image restoration tasks. The goal is to produce a clean image from one or more noisy observations of the same scene. For these problems, deep learning methods have grown dramatically in the last decade, outperforming the state of the art for the vast majority of traditional tests.While these methods produce impressive results, they have a number of drawbacks. First of all, they are difficult to interpret because of their "black box" operation. Moreover, they generalize rather poorly to acquisition or distortion modalities absent from the training database. Finally, they require large databases, which are sometimes difficult to acquire.We propose to attack these different problems by replacing the data acquisition by a simple image generation algorithm, based on the dead leaves model. Although this model is very simple, the generated images have statistical properties close to those of natural images and many invariance properties (scale, translation, rotation, contrast...). Training a restoration network with this kind of image allows us to identify the important properties of the images for the success of the restoration networks. Moreover, this method allows us to get rid of the data acquisition, which can be tedious.After presenting this model, we show that the proposed method allows to obtain restoration performances very close to traditional methods for relatively simple tasks. After some adaptations of the model, synthetic learning also allows us to tackle difficult concrete problems, such as RAW image denoising. We then propose a statistical study of the color distribution of natural images, allowing to elaborate a realistic parametric model of color sampling for our generation algorithm. Finally, we present a new perceptual loss function based on camera evaluation protocols, using the dead leaf images. The training performed with this function shows that we can jointly optimize the evaluation of the cameras, while keeping identical performances on natural images
Bossart, Pierre-Louis. "Détection de contours réguliers dans des images bruitées et texturées : association des contours actifs et d'une approche multiéchelle". Grenoble INPG, 1994. http://www.theses.fr/1994INPG0098.
Pełny tekst źródłaJOSEPH, Pierre. "Etude expérimentale du glissement liquide-solide sur surfaces lisses et texturées". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2005. http://tel.archives-ouvertes.fr/tel-00011075.
Pełny tekst źródłaUss, Mykhailo. "Estimation aveugle de l'écart-type du bruit additif, indépendant et/ou dépendant du signal : application aux images texturées multi/hyperspectrales". Rennes 1, 2011. http://www.theses.fr/2011REN1E008.
Pełny tekst źródłaLasmar, Nour-Eddine. "Modélisation stochastique pour l'analyse d'images texturées : Approches Bayésiennes pour la caractérisation dans le domaine des transformées". Phd thesis, Université Sciences et Technologies - Bordeaux I, 2012. http://tel.archives-ouvertes.fr/tel-00809279.
Pełny tekst źródłaKim, 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.
Pełny tekst źródłaAzzabou, Noura. "Variable Bandwidth Image Models for Texture-Preserving Enhancement of Natural Images". Paris Est, 2008. http://pastel.paristech.org/4041/01/ThesisNouraAzzabou.pdf.
Pełny tekst źródłaThis thesis is devoted to image enhancement and texture preservation issues. This task involves an image model that describes the characteristics of the recovered signal. Such a model is based on the definition of the pixels interaction that is often characterized by two aspects (i) the photometric similarity between pixels (ii) the spatial distance between them that can be compared to a given scale. The first part of the thesis, introduces novel non-parametric image models towards more appropriate and adaptive image description using variable bandwidth approximations driven from a soft classification in the image. The second part introduces alternative means to model observations dependencies from geometric point of view. This is done through statistical modeling of co-occurrence between observations and the use of multiple hypotheses testing and particle filters. The last part is devoted to novel adaptive means for spatial bandwidth selection and more efficient tools to capture photometric relationships between observations. The thesis concludes with providing other application fields of the last technique towards proving its flexibility toward various problem requirements
Qazi, Imtnan-Ul-Haque. "Luminance-Chrominance linear prediction models for color textures: An application to satellite image segmentation". Phd thesis, Université de Poitiers, 2010. http://tel.archives-ouvertes.fr/tel-00574090.
Pełny tekst źródłaGlotfelty, 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.
Pełny tekst źródłaTitle from document title page. Document formatted into pages; contains vii, 59 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 55-59).
Lladó, Bardera Xavier. "Texture recognition under varying imaging geometries". Doctoral thesis, Universitat de Girona, 2004. http://hdl.handle.net/10803/7721.
Pełny tekst źródłaLa Visió per Computador intenta emular el sistema de visió humà mitjançant un sistema de captura d'imatges, un ordinador, i un conjunt de programes. L'objectiu desitjat no és altre que desenvolupar un sistema que pugui entendre una imatge d'una manera similar com ho realitzaria una persona.
Aquesta tesi es centra en l'anàlisi de la textura per tal de realitzar el reconeixement de superfícies. La motivació principal és resoldre el problema de la classificació de superfícies texturades quan han estat capturades sota diferents condicions, com ara distància de la càmera o direcció de la il·luminació. D'aquesta forma s'aconsegueix reduir els errors de classificació provocats per aquests canvis en les condicions de captura.
En aquest treball es presenta detalladament un sistema de reconeixement de textures que ens permet classificar imatges de diferents superfícies capturades en diferents condicions. El sistema proposat es basa en un model 3D de la superfície (que inclou informació de color i forma) obtingut mitjançant la tècnica coneguda com a 4-Source Colour Photometric Stereo (CPS). Aquesta informació és utilitzada posteriorment per un mètode de predicció de textures amb l'objectiu de generar noves imatges 2D de les textures sota unes noves condicions. Aquestes imatges virtuals que es generen seran la base del nostre sistema de reconeixement, ja que seran utilitzades com a models de referència per al nostre classificador de textures.
El sistema de reconeixement proposat combina les Matrius de Co-ocurrència per a l'extracció de característiques de textura, amb la utilització del Classificador del veí més proper. Aquest classificador ens permet al mateix temps aproximar la direcció d'il·luminació present en les imatges que s'utilitzen per testejar el sistema de reconeixement. És a dir, serem capaços de predir l'angle d'il·luminació sota el qual han estat capturades les imatges de test.
Els resultats obtinguts en els diferents experiments que s'han realitzat demostren la viabilitat del sistema de predicció de textures, així com del sistema de reconeixement.
This thesis is concerned with the application of texture analysis to discriminate between textured surfaces. The main motivation is the problem of classifying textured surfaces imaged under varying geometries, i.e. distance from the sensor and illumination direction, as well as the necessity of finding reliable methods of reducing classification errors caused by changes in the geometry's properties.
In texture analysis one must distinguish between image texture and surface texture. Image texture is what appears in the 2D image of a physical object, while surface texture refers to the variation of the physical and geometric properties of the imaged surface which give rise to the image texture. Changes in the imaging geometry can significantly alter the appearance of the surface, implying significant variations in the image texture. And one still has to perform the task of recognition from the image texture.
In this thesis, after analysing different strategies, we integrate the surface texture information derived by colour photometric stereo (CPS) into a complete model-based texture classification system. Photometric stereo is the technique which allows us to obtain surface texture information from a few images of the same surface imaged under various illumination directions. Basically, the main idea of our strategy consists of creating, by means of the surface texture information, a virtual' database of image textures against which we compare unknown test images in order to classify them. Note that we do not use the surface texture information directly to perform classification, but we use it to create new images which are the references for our training and classification process. Furthermore, the classification system allows us to guess the approximate direction of the illumination used to capture the test images.
The proposed prediction methods, as well as the model-based texture classification system, are tested and evaluated. A set of real surface textures containing a wide variety of relatively smooth and very rough surfaces are used in this thesis as our image database.
Li, Zhongqiang. "Segmentation of textured images". Thesis, University of Central Lancashire, 1991. http://clok.uclan.ac.uk/20270/.
Pełny tekst źródłaGreen, Lori Anne. "Tiled texture synthesis". Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/429.
Pełny tekst źródłaCasaca, 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.
Pełny tekst źródłaFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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 ruído, cujas formulações são baseadas em decomposição de três termos e equações diferenciais parciais não lineares. Resultados experimentais atestam a boa performace dos protótipos apresentados quando comparados à modelagens correlatas da literatura.
In this paper we propose four new approaches to address the problem of restoration of real images containing textures from the perspective of reconstruction of damaged areas, object removal, and denoising topics. The first two approaches are designed to reconstruct missing parts or to remove objects of a real image using formulations based on image de composition and exemplar based inpainting, while the last two other approaches are used to remove noise, whose formulations are based on decomposition of three terms and non- linear partial di®erential equations. Experimental results attest to the good performance of the presented prototypes when compared to modeling related in literature.
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.
Pełny tekst źródłaDissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação
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
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 textura até síntese, classificação e recuperação de imagens por conteúdo.Apesar das múltiplas técnicas eficientes e eficazes propostas para classificação e recuperação, ainda há alguns desafios que precisam ser superados como, por exemplo, a necessidade de descritores de imagens compactos e robustos a serem empregados na consulta e classificação de bases de imagens de textura. Esta dissertação propõe um descritor de imagens de textura visando à busca e à recuperação de bases de dados de imagens. Este descritor baseia-se na Decomposição Piramidal Steerable caracterizada por sua análise de forma invariante à rotação ou à escala. Resultados preliminares conduzidos em cenários não-controlados demonstraram caráter promissor da abordagem. No que diz respeito à classificação de imagens de textura, esta dissertação propõe ao mesmo tempo um sistema de reconhecimento, o qual possui como principais características representações compactas de imagens e módulos de reconhecimento eficientes. O descritor proposto é utilizado para codificar a informação relevante de textura em vetores de características pequenos. Para tratar os requisitos de eficiência do reconhecimento, uma abordagem multi-classe baseada no classificador de Floresta de Caminhos Ótimos é utilizada. Experimentos foram condl!zidos visando avaliar o sistema proposto frente a outros métodos de classificação. Resultados experimentais demonstram a superioridade do sistema proposto
Abstract: An important low-level image feature used in human perception as well as in recognition is texture. 1n fact, the study of texture has found several applications ranging from texture segmentation to texture synthesis, classification, and image retrieval. Although many efficient and effective techniques have been proposed for texture classification and retrieval, there are still some challenges to overcome. More specifically, there is a need for a compact and robust image descriptor to query and classify texture image databases. 1n order to search and query image databases, this dissertation provides a texture image descriptor, which is based on a modification of the Steerable Pyramid Decomposition, and is also characterized by its capabilities for representing texture images in either rotation-invariant or scale-invariant manners. Preliminary results conducted in non-controlled scenarios have demonstrated the promising properties of the approach. 1n order to classify texture im.ages, this dissertation also provides a new recognition system, which presents as main features, compact image representations and efficient recognition tasks. The proposed image descriptor is used to encode the relevant texture information in small size feature vectors. To address the efficiency recognition requirements, a novel multi-class object recognition method based on the Optimum Path Forest classifier is used. To evaluate our proposed system against different methods, several experiments were conducted. The results demonstrate the superiority of the proposed system
Mestrado
Ciência da Computação
Mestre em Ciência da Computação
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.
Pełny tekst źródłaAzzabou, 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.
Pełny tekst źródłaMuñoz, Pujol Xavier 1976. "Image segmentation integrating colour, texture and boundary information". Doctoral thesis, Universitat de Girona, 2003. http://hdl.handle.net/10803/7719.
Pełny tekst źródłaSe 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 identificar el número de regiones presentes en la imagen y colocar en el interior de cada una de ellas una semilla, con el objetivo de modelar estadísticamente las características de las regiones y definir de esta forma la información de región. Esta información, conjuntamente con la información de frontera, es utilizada en la definición de una función de energía que expresa las propiedades requeridas a la segmentación deseada: uniformidad en el interior de las regiones y contraste con las regiones vecinas en los límites. Un conjunto de regiones activas inician entonces su crecimiento, compitiendo por los píxeles de la imagen, con el objetivo de optimizar la función de energía o, en otras palabras, encontrar la segmentación que mejor se adecua a los requerimientos exprsados en dicha función. Finalmente, todo esta proceso ha sido considerado en una estructura piramidal, lo que nos permite refinar progresivamente el resultado de la segmentación y mejorar su coste computacional.
La estrategia ha sido extendida al problema de segmentación de texturas, lo que implica algunas consideraciones básicas como el modelaje de las regiones a partir de un conjunto de características de textura y la extracción de la información de frontera cuando la textura es presente en la imagen.
Finalmente, se ha llevado a cabo la extensión a la segmentación de imágenes teniendo en cuenta las propiedades de color y textura. En este sentido, el uso conjunto de técnicas no-paramétricas de estimación de la función de densidad para la descripción del color, y de características textuales basadas en la matriz de co-ocurrencia, ha sido propuesto para modelar adecuadamente y de forma completa las regiones de la imagen.
La propuesta ha sido evaluada de forma objetiva y comparada con distintas técnicas de integración utilizando imágenes sintéticas. Además, se han incluido experimentos con imágenes reales con resultados muy positivos.
Image segmentation is an important research area in computer vision and many segmentation methods have been proposed. However, elemental segmentation techniques based on boundary or region approaches often fail to produce accurate segmentation results. Hence, in the last few years, there has been a tendency towards the integration of both techniques in order to improve the results by taking into account the complementary nature of such information. This thesis proposes a solution to the image segmentation integrating region and boundary information. Moreover, the method is extended to texture and colour texture segmentation.
An exhaustive analysis of image segmentation techniques which integrate region and boundary information is carried out. Main strategies to perform the integration are identified and a classification of these approaches is proposed. Thus, the most relevant proposals are assorted and grouped in their corresponding approach. Moreover, characteristics of these strategies as well as the general lack of attention that is given to the texture is noted. The discussion of these aspects has been the origin of all the work evolved in this thesis, giving rise to two basic conclusions: first, the possibility of fusing several approaches to the integration of both information sources, and second, the necessity of a specific treatment for textured images.
Next, an unsupervised segmentation strategy which integrates region and boundary information and incorporates three different approaches identified in the previous review is proposed. Specifically, the proposed image segmentation method combines the guidance of seed placement, the control of decision criterion and the boundary refinement approaches. The method is composed by two basic stages: initialisation and segmentation. Thus, in the first stage, the main contours of the image are used to identify the different regions present in the image and to adequately place a seed for each one in order to statistically model the region. Then, the segmentation stage is performed based on the active region model which allows us to take region and boundary information into account in order to segment the whole image. Specifically, regions start to shrink and expand guided by the optimisation of an energy function that ensures homogeneity properties inside regions and the presence of real edges at boundaries. Furthermore, with the aim of imitating the Human Vision System when a person is slowly approaching to a distant object, a pyramidal structure is considered. Hence, the method has been designed on a pyramidal representation which allows us to refine the region boundaries from a coarse to a fine resolution, and ensuring noise robustness as well as computation efficiency.
The proposed segmentation strategy is then adapted to solve the problem of texture and colour texture segmentation. First, the proposed strategy is extended to texture segmentation which involves some considerations as the region modelling and the extraction of texture boundary information. Next, a method to integrate colour and textural properties is proposed, which is based on the use of texture descriptors and the estimation of colour behaviour by using non-parametric techniques of density estimation. Hence, the proposed strategy of segmentation is considered for the segmentation taking both colour and textural properties into account.
Finally, the proposal of image segmentation strategy is objectively evaluated and then compared with some other relevant algorithms corresponding to the different strategies of region and boundary integration. Moreover, an evaluation of the segmentation results obtained on colour texture segmentation is performed. Furthermore, results on a wide set of real images are shown and discussed.
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.
Pełny tekst źródłaAbdelNasser, 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.
Pełny tekst źródłaEl cáncer de mama es una de las enfermedades más peligrosas que afecta a las mujeres. Los sistemas de diagnóstico asistido por ordenador pueden ayudar a detectar el cáncer de mama de una manera temprana y reducir la mortalidad. Esta tesis propone varios métodos para el análisis de imágenes de cáncer de mama. Analizamos el cáncer de mama en mamografías, ecografías y termografías. Nuestro análisis incluye la clasificación de masa / tejido normal de mama, la clasificación de tumores benignos / malignos en mamografías e imágenes de ultrasonido, la detección del pezón en termogramas, el registro de mamografías y el análisis de la evolución de los tumores de mama. Consideramos métodos bien conocidos de análisis de texturas y propusimos dos nuevos descriptores de texturas. También estudiamos el efecto de la resolución de los píxeles, la escala de integración, el pre-procesamiento y la normalización de las características en el rendimiento de estos métodos de análisis de texturas para la clasificación de los tumores. Finalmente, hemos utilizado la técnica de super-resolución para mejorar el rendimiento de estos métodos de análisis de texturas a la hora de clasificar los tumores de mama en imágenes de ultrasonido. Para el análisis del cáncer de mama en termogramas, proponemos un método automático para la detección precisa y sencilla de los pezones. Para analizar la evolución del cáncer de mama, proponemos un método de registro de mamografía temporal basado en coordenadas curvilíneas. También proponemos un método para cuantificar y visualizar la evolución de los tumores de mama en pacientes sometidos a tratamiento médico. En general, los métodos propuestos en esta tesis mejoran el rendimiento de las aproximaciones que se encuentran en el estado del arte y pueden ayudar a mejorar el diagnóstico del cáncer de mama.
Breast cancer is one of the most dangerous diseases that attacks women. Computer-aided diagnosis systems may help to detect breast cancer early and reduce mortality. This thesis proposes several methods for analyzing breast cancer images. We analyze breast cancer in mammographies, ultrasonographies and thermographies. Our analysis includes mass/normal breast tissue classification, benign/malignant tumor classification in mammograms and ultrasound images, nipple detection in thermograms, mammogram registration and analysis of the evolution of breast tumors. We considered well-known texture analysis methods and proposed two new texture descriptors. We also studied the effect of pixel resolution, integration scale, preprocessing and feature normalization on the performance of these texture analysis methods for tumor classification. Finally, we used super-resolution approaches to improve the performance of texture analysis methods when classifying breast tumors in ultrasound images. For the analysis of breast cancer in thermograms, we propose an automatic method for detecting nipples that is accurate and simple. To analyze the evolution of breast cancer, we propose a temporal mammogram registration method based on curvilinear coordinates. We also propose a method for quantifying and visualizing the evolution of breast tumors in patients undergoing medical treatment. Overall, the methods proposed in this thesis improve the performance of the state-of-the-art approaches and may help to improve the diagnosis of breast cancer.
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/.
Pełny tekst źródłaMagnetic resonance images are essential in the diagnosing and treatment of brain tumors due to its high amount of anatomic details. The task of segmenting brain tumor regions in these images makes more exact quantitative analysis feasible, allowing a better tracking of the evolution/regression of the disease. Nevertheless, the execution of such task is burdensome, featuring several drawbacks that turns it into a prohibitive one, and makes many doctors unwilling to put it into practice. In this work an automatic brain tumor segmentation system is proposed, in which several types of texture parameters such as statistical, model based and transform based, are applied. Those parameters are extracted from different, extensively used, types of magnetic resonance images (T1, T1 with contrast and FLAIR). Texture analysis techniques are capable of detecting tiny changes in underlying tissue, which are sometimes imperceptible to the human vision, fact that motivates its adoption here. Texture features can also be completed by other kinds of characteristics, such as pixel intensity. The proposed system comprises four basic steps: pre-processing, feature extraction, segmentation, and post-processing, and is based on a support vector machine for pixel classification. Final results shows that the system archived high success rates, which are comparable to results found in related works, and that it was able to locate and delimit tumor areas without any user interaction. For the quantification of the results, some metrics found in papers presented in the literature were adopted.
Peyré, Gabriel. "Géométrie multi-échelles pour les images et les textures". Phd thesis, Ecole Polytechnique X, 2005. http://tel.archives-ouvertes.fr/tel-00365025.
Pełny tekst źródłaOn propose donc une modélisation géométrique des images, l'ambition étant de pouvoir extraire l'information contenue dans les images naturelles, c'est-à-dire les images qui nous entourent. Ce problème est bien sûr difficile car la géométrie des images est complexe et variable.
Muhammad, Imran. "Colorizing Grey Scale Images". Thesis, Högskolan Dalarna, Datateknik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:du-6181.
Pełny tekst źródłaNoriega, Leonardo Antonio. "The colorimetric segmentation of textured digital images". Thesis, Southampton Solent University, 1998. http://ssudl.solent.ac.uk/2444/.
Pełny tekst źródłaLeng, Xiaoling. "Analysis of some textured images by transputer". Thesis, University of Glasgow, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324405.
Pełny tekst źródłaVelasquez, Alegre Irene Andrea. "Texturas em sintese de imagens". [s.n.], 1994. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261493.
Pełny tekst źródłaDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica
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Resumo: Neste trabalho apresenta.-se um estudo da Textura em ambientes de Síntese de Imagens. É apresentada uma revisão dos métodos mais conhecidos na modela.gem e aplicação de texturas a objetos sintetizados por computador. Com base em experiências de texturização e no estudo do fenômeno físico por detrás da textura observada sã.o propostos um Modelo Geral de Texturas e a especificação para um Módulo de Síntese de Texturas, no contexto do projeto ProSIm. Finalmente, algumas imagens são apresentadas para evidenciar os resultados desta conceitualização. Pretende-se com este trabalho incrementar nossa experiência de texturização e fornecer as bases para o desenvolvimento de um sistema de textura no ProSIm
Abstract: This work presents a study of textures in Image Synthesis environments. A review of some well known methods for modeling textures and applying them to synthetic objects is presented. Based on our experience in texturing and the study of physical phenomena related to the observed texture a General Model for Textures and the specification for a Texture Module in the ProSIm context are proposed. Some images are included to show the results obtained using this framework. This work intends to enhance our experience in texturing and provide the basis for development of a texture system in the context of project ProSIm
Mestrado
Mestre em Engenharia Elétrica
Linnett, L. M. "Multi-texture image segmentation". Thesis, Heriot-Watt University, 1991. http://hdl.handle.net/10399/856.
Pełny tekst źródłaIngratta, 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.
Pełny tekst źródłaNegri, 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/.
Pełny tekst źródłaColor 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.
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.
Pełny tekst źródłaCasaca, 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.
Pełny tekst źródłaBanca: Evanildo Castro Silva Júnior
Banca: Alagacone Sri Ranga
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 ruído, cujas formulações são baseadas em decomposição de três termos e equações diferenciais parciais não lineares. Resultados experimentais atestam a boa performace dos protótipos apresentados quando comparados à modelagens correlatas da literatura.
Abstract: In this paper we propose four new approaches to address the problem of restoration of real images containing textures from the perspective of reconstruction of damaged areas, object removal, and denoising topics. The first two approaches are designed to reconstruct missing parts or to remove objects of a real image using formulations based on image de composition and exemplar based inpainting, while the last two other approaches are used to remove noise, whose formulations are based on decomposition of three terms and non- linear partial di®erential equations. Experimental results attest to the good performance of the presented prototypes when compared to modeling related in literature.
Mestre
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.
Pełny tekst źródłaDissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
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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 atraente é capaz de capturar com maior facilidade não apenas a atenção de quem o observa, como também sua empatia. Nesta linha, o presente trabalho tem como objetivo o desenvolvimento de uma metodologia para manipulação e transformação de imagens fotográficas de faces com a finalidade de aumentar a atratividade destes rostos. Para isso, foram abordados dois aspectos de modificação da face: o geométrico e o de textura da pele do rosto. No contexto deste trabalho, foi construída uma base de imagens de faces. Nas imagens desta base foram identificados pontos de interesse e calculadas distâncias entre eles para a caracterização das proporções da face. Adicionalmente, foi atribuído um grau de atratividade para cada face, a partir de avaliação realizada por um grupo de 40 voluntários. As medidas de proporção e atratividade foram utilizadas, no processo de melhoria geométrica da face, como conjunto de treinamento para os algoritmos de aprendizado de máquina. Como resultado do processamento são geradas novas medidas para o rosto que se deseja tornar mais atraente. Utilizando a técnica de warping, a imagem do rosto de entrada é modificada para as novas medidas encontradas. A imagem resultante deste processo serve como imagem de entrada para o processo de modificação da textura. Neste processamento é gerada uma nova imagem com a cor dos pixels da região de pele do rosto alterada. A principal contribuição deste trabalho consiste em unir o processo de modificação geométrica do rosto à modificação de textura da pele. Esta união resultou em um ganho de atratividade maior do que se estas técnicas fossem utilizadas separadamente. Este ganho foi comprovado com testes de pós-avaliação realizados com voluntários analisando os resultados finais nas imagens
Abstract: The face plays an important role in communication and expression of emotions. Face characterizes the first impression of each person; thus, its appearance and shape became the target of several studies. An attractive face is capable of capturing more easily not only the attention of the beholder, as well as his/her empathy. In this vein, this study aims to develop a methodology for handling and processing of images of faces in order to increase the attractiveness of these faces. It was addressed two aspects of modification of the face: the geometric and texture (considering only the skin of the face). In this work, a large database of face images was built. All these faces were marked with feature points and from them it was taken measures considered interesting to analyze the dimensions and proportions of the faces. Besides that, they were also evaluated according to their degree of attraction by a group of volunteers. This information was used in the enhancement of the face geometry, using machine learning algorithms. At this stage new measures were generated for the input face which is considered in the beautification process. Using the technique of warping, the input face image is warped to fit the new measures found by the algorithms. The resulting image from this process serves as the input image to the process of texture modification. At this stage it is generated a new image with the color of pixels in the region of skin of the face changed. The main contribution of this work is to join the process of face geometry modification with the process of face skin texture modification. The result of this union generates image faces which have greater enhancement of attractiveness than if the processes were used separately. This gain was confirmed by post-evaluation tests conducted with volunteers that analyzed the final results
Mestrado
Engenharia de Computação
Mestre em Engenharia Elétrica
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.
Pełny tekst źródłaHao, Chuan Yan. "Image completion based on texture regularity and texture synthesis". Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1940411.
Pełny tekst źródłaPetroudi, Styliani. "Texture in mammographic image analysis". Thesis, University of Oxford, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.422668.
Pełny tekst źródłaByrne, James. "Texture synthesis for image compression". Thesis, University of Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.574259.
Pełny tekst źródłaGirometti, Laura. "Automatic texture-cartoon image decomposition". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24486/.
Pełny tekst źródłaBoussidi, Brahim. "Textural-based methods for image superresolution : Application to Satellite-derived Sea Surface Temperature imagery". Thesis, Télécom Bretagne, 2016. http://www.theses.fr/2016TELB0404/document.
Pełny tekst źródłaThe characterization of sub-mesoscale dynamics (<10 km) in the ocean surface and their impact on global ocean processes are major scientific issues. Satellite imagery is an essential tool within this framework. However, the use of remote sensing techniques still raise challenging. For instance, regarding Sea Surface Temperature (SST) images, satellite measurements of oceanic structures are limited by the coarse resolution of microwave sensors (~50km) on one hand, and by sensitivity to climatic conditions (eg., Cloud cover) of high-resolution infrared instruments on the other hand. In this thesis, we are interested in analysis, modeling and reconstruction of high-resolution turbulent structures captured by satellite SST imagery. In this context, we propose four main contributions. First, we develop a joint Fourier-Wavelet filtering method for the pre-processing of geometrical noises in satellite-based infrared observations, namely the striping noises. Secondly, we focus on the characterization of the geometric variability of sea surface temperature (SST) fields using random walk models applied to SST isolines. In particular, we consider the class of Schramm Loewner evolution curves (SLE). We then focus on the stochastic modeling of the cross-scale variabilities of SST fields. Stochastic multivariate texture-based models are introduced. These models are designed to reproduce several statistics and spectral properties that are observed on the data that are used to calibrate the model. We then develop our framework for stochastic super-resolution of SST fields conditionally to low-resolution observations. We use multivariate texture-based models formulated in the wavelet domain. These models exploit the formulation of statistical and spectral priors (i.e., covariances and cross-covariances) on wavelet subbands. These priors are directly learned from exemplar high-resolution images. Additional constraints imposed on the Fourier-phase of the different simulated subbands allow the reconstruction of coherent geometric structures such as the edge information. Our method is tested and validated using infrared high-resolution satellite SST images provided by Aqua Modis sensor
Jagnow, Robert Carl 1976. "Stereological techniques for synthesizing solid textures from images of aggregate materials". Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/30164.
Pełny tekst źródłaIncludes bibliographical references (leaves 121-130).
When creating photorealistic digital scenes, textures are commonly used to depict complex variation in surface appearance. For materials that have spatial variation in three dimensions, such as wood or marble, solid textures offer a natural representation. Unlike 2D textures, which can be easily captured with a photograph, it can be difficult to obtain a 3D material volume. This thesis addresses the challenge of extrapolating tileable 3D solid textures from images of aggregate materials, such as concrete, asphalt, terrazzo or granite. The approach introduced here is inspired by and builds on prior work in stereology--the study of 3D properties of a material based on 2D observations. Unlike ad hoc methods for texture synthesis, this approach has rigorous mathematical foundations that allow for reliable, accurate material synthesis with well-defined assumptions. The algorithm is also driven by psychophysical constraints to insure that slices through the synthesized volume have a perceptually similar appearance to the input image. The texture synthesis algorithm uses a variety of techniques to independently solve for the shape, distribution, and color of the embedded particles, as well as the residual noise. To approximate particle shape, I consider four methods-including two algorithms of my own contribution. I compare these methods under a variety of input conditions using automated, perceptually-motivated metrics as well as a carefully controlled psychophysical experiment. In addition to assessing the relative performance of the four algorithms, I also evaluate the reliability of the automated metrics in predicting the results of the user study. To solve for the particle distribution, I apply traditional stereological methods.
(cont.) I first illustrate this approach for aggregate materials of spherical particles and then extend the technique to apply to particles of arbitrary shapes. The particle shape and distribution are used in conjunction to create an explicit 3D material volume using simulated annealing. Particle colors are assigned using a stochastic method, and high-frequency noise is replicated with the assistance of existing algorithms. The data representation is suitable for high-fidelity rendering and physical simulation. I demonstrate the effectiveness of the approach with side-by-side comparisons of real materials and their synthetic counterparts derived from the application of these techniques.
by Robert Carl Jagnow.
Ph.D.
Provent, Pierre. "Segmentation d'images par analyse statistique de textures : application aux images échocardiographiques". Paris 12, 1991. http://www.theses.fr/1991PA120049.
Pełny tekst źródłaHa, 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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