Este trabalho apresenta o memorial de composição, a partitura e a gravação do balé Mahavidyas para dois pianos, flauta, piccolo, timpani e orquestra de cordas. O balé é integrado por sete ciclos de peças livremente inspiradas em imagens das Mahavydias, deusas do hinduísmo. Cada um dos ciclos, agrupado em dois atos, contém três movimentos. O primeiro ato é composto pela abertura e pelos quatro primeiros ciclos; o segundo, por abertura, três ciclos e coda. O Memorial inclui breve descrição das referências estéticas que estimularam as atitudes composicionais, fundamentadas no pensamento de H. J. Koellreutter e Fernando Pessoa. O relato dos processos composicionais revela os critérios expressivos e estruturais para a escolha da instrumentação e a relação desta com materiais compostos e utilizados de forma espontânea e intuitiva. / The present study presents the score, the recording, and a compositional essay on Mahavidyas, a ballet for two pianos, flute, piccolo, timpani and string orchestra. The ballet consists of seven cycles freely inspired by images of Mahavydias, goddesses of Hinduism. Each cycle contains three movements, grouped into two acts. In the first act are presented an overture and the first four cycles, while the second act presents an overture, the remaining three cycles, and the coda. The Memorial includes a brief description of aesthetic references that have informed the composition, based on the ideas of H.J. Koellreutter and Fernando Pessoa. The description of the compositional process addresses the expressive and structural criteria for the choice of instrumentation and its relation to written materials, used spontaneously and intuitively.

Made available in DSpace on 2014-06-11T19:27:50Z (GMT). No. of bitstreams: 0 Previous issue date: 2005-08-09Bitstream added on 2014-06-13T20:27:49Z : No. of bitstreams: 1 belo_em_me_rcla.pdf: 402086 bytes, checksum: b86f8bca65ba149da47ef1b9ca1e9ae0 (MD5) / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) / Este trabalho tem como objetivo apresentar uma análise comparativa entre diferentes tipos de texto - literário e didático - a partir das imagens que elaboramos e/ou evocamos e que resultam da interpretação dos mesmos. Tomamos como referencial em nossa análise o homem, presente tanto na obra literária Os Sertões, de Euclides da Cunha, como nas apostilas de Geografia, Ensino Médio, do Programa de Educação à Distância Telecurso 2000 (TC 2000). Como resultado da análise temos os tipos humanos, que possibilitam a busca pelo entendimento de imagens que, revelando suas diferenças, revelam também diferentes visões do mundo na atual realidade. / This work has objective presents a comparative analysis among different text types - literary and didactic - starting from the images that we elaborated and/or we evoked and they result of the interpretation of the same ones. We took as referencial in our analysis the man, presents so much in the literary work Os Sertões, of Euclides da Cunha, as in the study aids of Geography, Medium Teaching, of the Program of Education at the Distance Telecurso 2000 (TC 2000). A result of the analysis we have the human types, that your possibility us the search for the understanding of images that, revealing their differences, they also reveal different visions of the world in the current reality.

Made available in DSpace on 2014-10-09T12:51:40Z (GMT). No. of bitstreams: 0 / Made available in DSpace on 2014-10-09T14:10:00Z (GMT). No. of bitstreams: 0 / Tese (Doutoramento) / IPEN/T / Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP

This master thesis is focused on the optimization of low voltage electron microscope LVTEM, the description of construction and the comparison of LVTEM and conventional electron microscope, with concentration on the image acquiring and adjusting.

Este trabalho apresenta o memorial de composição, a partitura e a gravação do balé Mahavidyas para dois pianos, flauta, piccolo, timpani e orquestra de cordas. O balé é integrado por sete ciclos de peças livremente inspiradas em imagens das Mahavydias, deusas do hinduísmo. Cada um dos ciclos, agrupado em dois atos, contém três movimentos. O primeiro ato é composto pela abertura e pelos quatro primeiros ciclos; o segundo, por abertura, três ciclos e coda. O Memorial inclui breve descrição das referências estéticas que estimularam as atitudes composicionais, fundamentadas no pensamento de H. J. Koellreutter e Fernando Pessoa. O relato dos processos composicionais revela os critérios expressivos e estruturais para a escolha da instrumentação e a relação desta com materiais compostos e utilizados de forma espontânea e intuitiva. / The present study presents the score, the recording, and a compositional essay on Mahavidyas, a ballet for two pianos, flute, piccolo, timpani and string orchestra. The ballet consists of seven cycles freely inspired by images of Mahavydias, goddesses of Hinduism. Each cycle contains three movements, grouped into two acts. In the first act are presented an overture and the first four cycles, while the second act presents an overture, the remaining three cycles, and the coda. The Memorial includes a brief description of aesthetic references that have informed the composition, based on the ideas of H.J. Koellreutter and Fernando Pessoa. The description of the compositional process addresses the expressive and structural criteria for the choice of instrumentation and its relation to written materials, used spontaneously and intuitively.

Made available in DSpace on 2014-10-09T12:46:31Z (GMT). No. of bitstreams: 0 / Made available in DSpace on 2014-10-09T13:56:22Z (GMT). No. of bitstreams: 1 07977.pdf: 2200288 bytes, checksum: 75fcd64975e2719bf0f41d38ec387c77 (MD5) / Dissertacao (Mestrado) / IPEN/D / Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP

Made available in DSpace on 2014-10-09T12:51:40Z (GMT). No. of bitstreams: 0 / Made available in DSpace on 2014-10-09T14:10:00Z (GMT). No. of bitstreams: 0 / Foi desenvolvido um programa para fusão de imagens médicas para utilização nos sistemas de planejamento de tratamento de radioterapia CAT3D e de radiocirurgia MNPS. Foi utilizada uma metodologia de maximização da informação mútua para fazer a fusão das imagens de modalidades diferentes pela medida da dependência estatística entre os pares de voxels. O alinhamento por pontos referenciais faz uma aproximação inicial para o processo de otimização não linear pelo método de downhill simplex para gerar o histograma conjugado. A função de transformação de coordenadas utiliza uma interpolação trilinear e procura pelo valor de máximo global em um espaço de 6 dimensões, com 3 graus de liberdade para translação e 3 graus de liberdade para rotação, utilizando o modelo de corpo rígido. Este método foi avaliado com imagens de TC, RM e PET do banco de dados da Universidade Vanderbilt, para verificar sua exatidão pela comparação das coordenadas de transformação de cada fusão de imagens com os valores de referência. O valor da mediana dos erros de alinhamento das imagens foi de 1,6 mm para a fusão de TC-RM e de 3,5 mm para PET-RM, com a exatidão dos padrões de referência estimada em 0,4 mm para TC-RM e 1,7 mm para PET-RM. Os valores máximos de erros foram de 5,3 mm para TC-RM e de 7,4 mm para PET-RM e 99,1% dos erros foram menores que o tamanho dos voxels das imagens. O tempo médio de processamento para a fusão de imagens foi de 24 s. O programa foi concluído com sucesso e inserido na rotina de 59 serviços de radioterapia, dos quais 42 estão no Brasil e 17 na América Latina. Este método não apresenta limitações quanto às resoluções diferentes das imagens, tamanhos de pixels e espessuras de corte. Além disso, o alinhamento pode ser realizado com imagens transversais, coronais ou sagitais. / Tese (Doutoramento) / IPEN/T / Instituto de Pesquisas Energeticas e Nucleares - IPEN/CNEN-SP

Le traitement d'images numériques a suivi l'évolution de l'électronique et de l'informatique. Il est maintenant courant de manipuler des images à valeur non pas dans {0,1}, mais dans des variétés ou des distributions de probabilités. C'est le cas par exemple des images couleurs où de l'imagerie du tenseur de diffusion (DTI). Chaque type d'image possède ses propres structures algébriques, topologiques et géométriques. Ainsi, les techniques existantes de traitement d'image doivent être adaptés lorsqu'elles sont appliquées à de nouvelles modalités d'imagerie. Lorsque l'on manipule de nouveaux types d'espaces de valeurs, les précédents opérateurs peuvent rarement être utilisés tel quel. Même si les notions sous-jacentes ont encore un sens, un travail doit être mené afin de les exprimer dans le nouveau contexte. Cette thèse est composée de deux parties indépendantes. La première, « Morphologie mathématiques pour les images non standards », concerne l'extension de la morphologie mathématique à des cas particuliers où l'espace des valeurs de l'image ne possède pas de structure d'ordre canonique. Le chapitre 2 formalise et démontre le problème de l'irrégularité des ordres totaux dans les espaces métriques. Le résultat principal de ce chapitre montre qu'étant donné un ordre total dans un espace vectoriel multidimensionnel, il existe toujours des images à valeur dans cet espace tel que les dilatations et les érosions morphologiques soient irrégulières et incohérentes. Le chapitre 3 est une tentative d'extension de la morphologie mathématique aux images à valeur dans un ensemble de labels non ordonnés.La deuxième partie de la thèse, « Estimation de densités de probabilités dans les espaces de Riemann » concerne l'adaptation des techniques classiques d'estimation de densités non paramétriques à certaines variétés Riemanniennes. Le chapitre 5 est un travail sur les histogrammes d'images couleurs dans le cadre de métriques perceptuelles. L'idée principale de ce chapitre consiste à calculer les histogrammes suivant une approximation euclidienne local de la métrique perceptuelle, et non une approximation globale comme dans les espaces perceptuels standards. Le chapitre 6 est une étude sur l'estimation de densité lorsque les données sont des lois Gaussiennes. Différentes techniques y sont analysées. Le résultat principal est l'expression de noyaux pour la métrique de Wasserstein. / Digital image processing has followed the evolution of electronic and computer science. It is now current to deal with images valued not in {0,1} or in gray-scale, but in manifolds or probability distributions. This is for instance the case for color images or in diffusion tensor imaging (DTI). Each kind of images has its own algebraic, topological and geometric properties. Thus, existing image processing techniques have to be adapted when applied to new imaging modalities. When dealing with new kind of value spaces, former operators can rarely be used as they are. Even if the underlying notion has still a meaning, a work must be carried out in order to express it in the new context.The thesis is composed of two independent parts. The first one, "Mathematical morphology on non-standard images", concerns the extension of mathematical morphology to specific cases where the value space of the image does not have a canonical order structure. Chapter 2 formalizes and demonstrates the irregularity issue of total orders in metric spaces. The main results states that for any total order in a multidimensional vector space, there are images for which the morphological dilations and erosions are irregular and inconsistent. Chapter 3 is an attempt to generalize morphology to images valued in a set of unordered labels.The second part "Probability density estimation on Riemannian spaces" concerns the adaptation of standard density estimation techniques to specific Riemannian manifolds. Chapter 5 is a work on color image histograms under perceptual metrics. The main idea of this chapter consists in computing histograms using local Euclidean approximations of the perceptual metric, and not a global Euclidean approximation as in standard perceptual color spaces. Chapter 6 addresses the problem of non parametric density estimation when data lay in spaces of Gaussian laws. Different techniques are studied, an expression of kernels is provided for the Wasserstein metric.

Lors de ces travaux, nous nous sommes intéressés au problème de la classification supervisée d'images satellitaires de zones urbaines. Les données traitées sont des images optiques à très hautes résolutions spatiales: données panchromatiques à très haute résolution spatiale (IKONOS, QUICKBIRD, simulations PLEIADES) et des images hyperspectrales (DAIS, ROSIS). Deux stratégies ont été proposées. La première stratégie consiste en une phase d'extraction de caractéristiques spatiales et spectrales suivie d'une phase de classification. Ces caractéristiques sont extraites par filtrages morphologiques : ouvertures et fermetures géodésiques et filtrages surfaciques auto-complémentaires. La classification est réalisée avec les machines à vecteurs supports (SVM) non linéaires. Nous proposons la définition d'un noyau spatio-spectral utilisant de manière conjointe l'information spatiale et l'information spectrale extraites lors de la première phase. La seconde stratégie consiste en une phase de fusion de données pre- ou post-classification. Lors de la fusion postclassification, divers classifieurs sont appliqués, éventuellement sur plusieurs données issues d'une même scène (image panchromat ique, image multi-spectrale). Pour chaque pixel, l'appartenance à chaque classe est estimée à l'aide des classifieurs. Un schéma de fusion adaptatif permettant d'utiliser l'information sur la fiabilité locale de chaque classifieur, mais aussi l'information globale disponible a priori sur les performances de chaque algorithme pour les différentes classes, est proposé. Les différents résultats sont fusionnés à l'aide d'opérateurs flous. Les méthodes ont été validées sur des images réelles. Des améliorations significatives sont obtenues par rapport aux méthodes publiées dans la litterature.

Hyperspectral (HS) imaging, which consists of acquiring a same scene in several hundreds of contiguous spectral bands (a three dimensional data cube), has opened a new range of relevant applications, such as target detection [MS02], classification [C.-03] and spectral unmixing [BDPD+12]. However, while HS sensors provide abundant spectral information, their spatial resolution is generally more limited. Thus, fusing the HS image with other highly resolved images of the same scene, such as multispectral (MS) or panchromatic (PAN) images is an interesting problem. The problem of fusing a high spectral and low spatial resolution image with an auxiliary image of higher spatial but lower spectral resolution, also known as multi-resolution image fusion, has been explored for many years [AMV+11]. From an application point of view, this problem is also important as motivated by recent national programs, e.g., the Japanese next-generation space-borne hyperspectral image suite (HISUI), which fuses co-registered MS and HS images acquired over the same scene under the same conditions [YI13]. Bayesian fusion allows for an intuitive interpretation of the fusion process via the posterior distribution. Since the fusion problem is usually ill-posed, the Bayesian methodology offers a convenient way to regularize the problem by defining appropriate prior distribution for the scene of interest. The aim of this thesis is to study new multi-band image fusion algorithms to enhance the resolution of hyperspectral image. In the first chapter, a hierarchical Bayesian framework is proposed for multi-band image fusion by incorporating forward model, statistical assumptions and Gaussian prior for the target image to be restored. To derive Bayesian estimators associated with the resulting posterior distribution, two algorithms based on Monte Carlo sampling and optimization strategy have been developed. In the second chapter, a sparse regularization using dictionaries learned from the observed images is introduced as an alternative of the naive Gaussian prior proposed in Chapter 1. instead of Gaussian prior is introduced to regularize the ill-posed problem. Identifying the supports jointly with the dictionaries circumvented the difficulty inherent to sparse coding. To minimize the target function, an alternate optimization algorithm has been designed, which accelerates the fusion process magnificently comparing with the simulation-based method. In the third chapter, by exploiting intrinsic properties of the blurring and downsampling matrices, a much more efficient fusion method is proposed thanks to a closed-form solution for the Sylvester matrix equation associated with maximizing the likelihood. The proposed solution can be embedded into an alternating direction method of multipliers or a block coordinate descent method to incorporate different priors or hyper-priors for the fusion problem, allowing for Bayesian estimators. In the last chapter, a joint multi-band image fusion and unmixing scheme is proposed by combining the well admitted linear spectral mixture model and the forward model. The joint fusion and unmixing problem is solved in an alternating optimization framework, mainly consisting of solving a Sylvester equation and projecting onto a simplex resulting from the non-negativity and sum-to-one constraints. The simulation results conducted on synthetic and semi-synthetic images illustrate the advantages of the developed Bayesian estimators, both qualitatively and quantitatively.