866 resultados para Imagens


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A 3D binary image is considered well-composed if, and only if, the union of the faces shared by the foreground and background voxels of the image is a surface in R3. Wellcomposed images have some desirable topological properties, which allow us to simplify and optimize algorithms that are widely used in computer graphics, computer vision and image processing. These advantages have fostered the development of algorithms to repair bi-dimensional (2D) and three-dimensional (3D) images that are not well-composed. These algorithms are known as repairing algorithms. In this dissertation, we propose two repairing algorithms, one randomized and one deterministic. Both algorithms are capable of making topological repairs in 3D binary images, producing well-composed images similar to the original images. The key idea behind both algorithms is to iteratively change the assigned color of some points in the input image from 0 (background)to 1 (foreground) until the image becomes well-composed. The points whose colors are changed by the algorithms are chosen according to their values in the fuzzy connectivity map resulting from the image segmentation process. The use of the fuzzy connectivity map ensures that a subset of points chosen by the algorithm at any given iteration is the one with the least affinity with the background among all possible choices

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The visualization of three-dimensional(3D)images is increasigly being sed in the area of medicine, helping physicians diagnose desease. the advances achived in scaners esed for acquisition of these 3d exames, such as computerized tumography(CT) and Magnetic Resonance imaging (MRI), enable the generation of images with higher resolutions, thus, generating files with much larger sizes. Currently, the images of computationally expensive one, and demanding the use of a righ and computer for such task. The direct remote acess of these images thruogh the internet is not efficient also, since all images have to be trasferred to the user´s equipment before the 3D visualization process ca start. with these problems in mind, this work proposes and analyses a solution for the remote redering of 3D medical images, called Remote Rendering (RR3D). In RR3D, the whole hedering process is pefomed a server or a cluster of servers, with high computational power, and only the resulting image is tranferred to the client, still allowing the client to peform operations such as rotations, zoom, etc. the solution was developed using web services written in java and an architecture that uses the scientific visualization packcage paraview, the framework paraviewWeb and the PACS server DCM4CHEE.The solution was tested with two scenarios where the rendering process was performed by a sever with graphics hadwere (GPU) and by a server without GPUs. In the scenarios without GPUs, the soluction was executed in parallel with several number of cores (processing units)dedicated to it. In order to compare our solution to order medical visualization application, a third scenario was esed in the rendering process, was done locally. In all tree scenarios, the solution was tested for different network speeds. The solution solved satisfactorily the problem with the delay in the transfer of the DICOM files, while alowing the use of low and computers as client for visualizing the exams even, tablets and smart phones

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Image segmentation is the process of subdiving an image into constituent regions or objects that have similar features. In video segmentation, more than subdividing the frames in object that have similar features, there is a consistency requirement among segmentations of successive frames of the video. Fuzzy segmentation is a region growing technique that assigns to each element in an image (which may have been corrupted by noise and/or shading) a grade of membership between 0 and 1 to an object. In this work we present an application that uses a fuzzy segmentation algorithm to identify and select particles in micrographs and an extension of the algorithm to perform video segmentation. Here, we treat a video shot is treated as a three-dimensional volume with different z slices being occupied by different frames of the video shot. The volume is interactively segmented based on selected seed elements, that will determine the affinity functions based on their motion and color properties. The color information can be extracted from a specific color space or from three channels of a set of color models that are selected based on the correlation of the information from all channels. The motion information is provided into the form of dense optical flows maps. Finally, segmentation of real and synthetic videos and their application in a non-photorealistic rendering (NPR) toll are presented

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Non-Photorealisitc Rendering (NPR) is a class of techniques that aims to reproduce artistic techniques, trying to express feelings and moods on the rendered scenes, giving an aspect of that they had been made "by hand". Another way of defining NPR is that it is the processing of scenes, images or videos into artwork, generating scenes, images or videos that can have the visual appeal of pieces of art, expressing the visual and emotional characteristics of artistic styles. This dissertation presents a new method of NPR for stylization of images and videos, based on a typical artistic expression of the Northeast region of Brazil, that uses colored sand to compose landscape images on the inner surface of glass bottles. This method is comprised by one technique for generating 2D procedural textures of sand, and two techniques that mimic effects created by the artists using their tools. It also presents a method for generating 21 2D animations in sandbox from the stylized video. The temporal coherence within these stylized videos can be enforced on individual objects with the aid of a video segmentation algorithm. The present techniques in this work were used on stylization of synthetic and real videos, something close to impossible to be produced by artist in real life

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Se trata de una incursión histórica por el pensamiento y por la enseñanza médica, discutiéndose la formación médica de manera contextualizada, con el objetivo de comprenderla para interpretarla a través del recuerdo que haya sido fijado por los alumnos. Se dará un enfoque a la mediación pedagógica de esa formación, intentando proporcionar el diálogo entre la historia social de la Medicina y los recuerdos de alumnos, ubicándolas en un contexto histórico-social y cultural, al mismo tiempo en que se ha buscado sujetar las imágenes de los profesores que hayan dejado huellas significativas en la vida de los alumnos, en cuestiones profesionales, sociales y culturales. Se configura, asimismo, una memoria de la formación médica de la Faculdade de Medicina da Universidade Federal do Rio Grande do Norte (UFRN), desde su creación en el 1955, como Faculdade de Medicina de Natal, hasta el 1963, como Faculdade de Medicina da UFRN. Los recuerdos han sido recolectados por medio de entrevistas temáticas con alumnos ya formados de las tres primeras turmas concluyentes, de los años del 1961, 1962 y 1963, de la referida Facultad y fueron interpretadas utilizándose la cartografía como técnica que envuelve la construcción de cuadros interpretativos, teniendo como unidad de análisis las palabras representativas de los elementos constituyentes de la mediación pedagógica, sacadas de las narrativas de los sujetos, que cargan también las imágenes de los profesores que han compuesto dicho diálogo por sus contribuciones para la existencia del saber y hacer de la educación médica en Natal/RN. Aún se comprende que esa Facultad fue creada en un momento histórico-social y cultural en que Brasil y el mundo todavía intentaban encontrar nuevos caminos, después de turbulencias causadas por la Segunda Guerra Mundial, y la intelectualidad natalense visualizaba el encaje de la ciudad en los parámetros de la modernidad. El currículum implantado era técnico/racional, pero al ser interpretado por la acción, a través de la reconstrucción de los recuerdos de los alumnos, en los vestigios de la mediación pedagógica de la formación médica y en las imágenes de los profesores todavía vivas en sus memorias, se vuelve posible entender que a esos alumnos ha sido enseñado: un saber relacional que permitía el diálogo, la transmisión de experiencia y el compromiso médico con vista a un atendimiento a la populación en primer lugar, siguiéndole el sentimiento que fomentaba deseos de ayuda al próximo, siendo los propios profesores el ejemplo, conformándose, así, con un saber contextual, agregado a una participación política y de responsabilidad ética para con la sociedad

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Ce travail a pour but d analyser un corpus de six textes hybrides, que nous classons comme des poèmes-chansons/ poèmes-chantés à cause de leur double présence dans deux systèmes sémiotiques différents. Le premier, la littérature, ou plus spécifiquement la poésie, a comme support le livre As Coisas [Les Choses], d Arnaldo Antunes et l autre, la chanson, est enregistré dans les disques du même auteur. Notre travail lance un regard sur ce corpus, en essayant de vérifier un aspect recourrent dans l oeuvre d Arnaldo Antunes qui est la présence da priméité, catégorie theórique développée par Charles Sanders Peirce. Au-delà de l observation de cet aspect sémiothique, nous ferons une discussion sur la chanson populaire, et ses rapports avec la poésie et par conséquent avec la Litterature. La théorie sémiothique s appuyera sur deux piliers : En ce qui concerne l étude de la priméité, nous travaillerons avec les théories de Peirce, mais en nous servant aussi des ouvrages de Lúcia Santaella, Winfried Nöth, Júlio Plaza et Décio Pignatari ; Dans l autre voie, pour ce qui concerne l analyse des chansons, nous utiliserons la théorie de Luiz Tatit, fondée sur la sémiothique de Algirdas Julien Greimas. Tatit trace une méthode d analyse, où il est possible d analyser une chanson en exploitant et le texte et la mélodie, ce qui permet une meilleure compréhension de l étude des poèmes-chansons et ses variations. Comme support pour la discussion sur la musique, nous nous servirons des théories de José Miguel Wisnik, Claude Lévi-Strauss, Roland Barthes et Jean Fisette

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Remote sensing is one technology of extreme importance, allowing capture of data from the Earth's surface that are used with various purposes, including, environmental monitoring, tracking usage of natural resources, geological prospecting and monitoring of disasters. One of the main applications of remote sensing is the generation of thematic maps and subsequent survey of areas from images generated by orbital or sub-orbital sensors. Pattern classification methods are used in the implementation of computational routines to automate this activity. Artificial neural networks present themselves as viable alternatives to traditional statistical classifiers, mainly for applications whose data show high dimensionality as those from hyperspectral sensors. This work main goal is to develop a classiffier based on neural networks radial basis function and Growing Neural Gas, which presents some advantages over using individual neural networks. The main idea is to use Growing Neural Gas's incremental characteristics to determine the radial basis function network's quantity and choice of centers in order to obtain a highly effective classiffier. To demonstrate the performance of the classiffier three studies case are presented along with the results.

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Image segmentation is the process of labeling pixels on di erent objects, an important step in many image processing systems. This work proposes a clustering method for the segmentation of color digital images with textural features. This is done by reducing the dimensionality of histograms of color images and using the Skew Divergence to calculate the fuzzy a nity functions. This approach is appropriate for segmenting images that have colorful textural features such as geological, dermoscopic and other natural images, as images containing mountains, grass or forests. Furthermore, experimental results of colored texture clustering using images of aquifers' sedimentary porous rocks are presented and analyzed in terms of precision to verify its e ectiveness.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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This work embraces the application of Landsat 5-TM digital images, comprising August 2 1989 and September 22 1998, for temporal mapping and geoenvironmental analysis of the dynamic of Piranhas-Açu river mouth, situated in the Macau (RN) region. After treatment using several digital processing techniques (e.g. colour composition in RGB, ratio of bands, principal component analysis, index methods, among others), it was possible to generate several image products and multitemporal maps of the coastal morphodynamics of the studied area. Using the image products it was possible the identification and characterization of the principal elements of interest (vegetation, soil, geology and water) in the surface of the studied area, associating the spectral characteristics of these elements to that presented by the image products resulting of the digital processing. Thus, it was possible to define different types of soils: Amd, AQd6, SK1 and LVe4; vegetation grouping: open arboreal-shrubby caatinga, closed arborealshrubby caatinga, closed arboreal caatinga, mangrove vegetation, dune vegetation and areas predominately constituted by juremas; geological units: quaternary units beach sediments, sand banks, dune flats, barrier island, mobile dunes, fixed dunes, alluvium, tidal and inundation flats, and sandy facies of the Potengi Formation; tertiary-quaternary units Barreiras Formation grouped to the clayey facies of the Potengi Formation, Macau Formation grouped to the sediments of the Tibau Formation; Cretaceous units Jandaíra Formation; moreover it was to identify the sea/land limit, shallow submersed areas and suspended sediments. The multitemporal maps of the coastal morphodynamics allowed the identification and a semi-quantitative evoluation of regions which were submitted to erosive and constructive processes in the last decade. This semi-quantitative evoluation in association with an geoenvironmental characterization of the studied area are important data to the elaboration of actions that may minimize the possible/probable impacts caused by the implantation of the Polo Gas/Sal and to the monitoring of areas explorated by the petroleum and salt industries

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Objectives: To assess the palpebral position in patients with congenital or acquired ptosis, related to margin, sulcus and eyebrow, trying to identify differences between types of ptosis. Methods: A retrospective evaluation of patients with palpebral ptosis treated at the Ambulatory of Ophthalmic Plastic Surgery - Faculdade de Medicina de Botucatu (UNESP) was conducted, from 1995 to 2006. Data were recovered from electronic medical charts as well as digital image files. Eighty-seven patients were assessed, according to age, gender and data related to ptosis, such as time of appearance and type of palpebral ptosis. Palpebral ptosis was classified in two groups: congenital and acquired ptosis. Measurements were taken of margin-reflex distance (MRD), margin sulcus distance (MSD) and margin eyebrow distance (MED) using digital measurements of photos obtained. The corneal diameter of each individual patients was the unit of measure used. All data was transferred to an Excel Spreadsheet and received statistical treatment. Results: Statistical analysis revealed there is no association between the presence of ptosis and gender, or the type of ptosis and gender. There was a significant difference between eyelid with and without ptosis for MRD. However, in relation to the type of ptosis (congenital or acquired), MRD did not present any significant difference. The MSD and MED measurements were higher in acquired ptosis when compared to congenital ptosis. Conclusion: Assessment of palpebral positioning using digital measures endorse that MRD is smaller in patients with palpebral ptosis and similar in congenital or acquired ptosis, whereas MSD and MED presented higher values in acquired ptosis.

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Com as transformações pelas quais passa o conhecimento científico na atualidade, a narrativa transformou-se em tema de relevância, quando se pesquisam questões relativas à construção de significado na experiência humana. Investigada como técnica de ensino junto a alunos de 6ª série de Botucatu, São Paulo, os quais foram confrontados com o ambiente urbano de Salvaterra, Ilha de Marajó, revelou que a força das oposições binárias, previstas teoricamente, estimula a reelaboração de conceitos prévios, revisão e resignificação de valores e de condicionamentos sociais. A narrativa como técnica de ensino propicia aprendizagem efetiva, com o espectador organizando a sequência de imagens apresentada e fazendo emergir significado de acordo com as suas experiências e estrutura cognitiva.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Neste artigo é proposto um método semiautomático para extração de rodovias combinando um estereopar de imagens aéreas de baixa resolução com um poliedro gerado a partir de um modelo digital do terreno (MDT). O problema é formulado no espaço-objeto através de uma função objetivo que modela o objeto 'rodovia' como uma curva suave e pertencente a uma superfície poliédrica. A função objetivo proposta depende também de informações radiométricas, que são acessadas no espaço-imagem via relação de colinearidade entre pontos da rodovia no espaço-objeto e os correspondentes nos espaços imagem do estereopar. A linha poligonal que melhor modela a rodovia selecionada é obtida por otimização no espaço-objeto da função objetivo, tendo por base o algoritmo de programação dinâmica. O processo de otimização é iterativo e dependente do fornecimento por um operador de uma aproximação inicial para a rodovia selecionada. Os resultados obtidos mostraram que o método é robusto frente a anomalias existentes ao longo das rodovias, tais como obstruções causadas por sombras e árvores.

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As imagens obtidas pelos raios X vêm sendo utilizadas na análise da qualidade de sementes desde os anos 50 e, atualmente, vêm se destacando por ser um método rápido, de boa precisão e não destrutivo. Deste modo, o presente trabalho foi realizado com o objetivo de avaliar as características morfológicas dos embriões de sementes de Tecoma stans L. Juss. ex Kunth pertencentes a diferentes classes de massa através da análise de imagens obtidas pelo uso dos raios X, correlacionando-as com a germinação e morfologia das plântulas. Foram utilizadas sete classes de massa com trinta sementes em cada classe, que foram submetidas aos raios X para a obtenção das imagens dos embriões. Os embriões, de cada uma das classes, foram separados de acordo com suas características morfológicas em 4 categorias (embriões sem defeito, embriões com pequenos defeitos, embriões deformados e sementes sem embrião). As sementes das diferentes classes de massa foram colocadas para germinar (emissão da raiz primária) e após dez dias foi observado o número de plântulas normais em cada uma das categorias e classes de massa. A maioria das sementes das classes 1 e 2, mais leves, apresenta-se com embriões deformados ou sem embrião, enquanto que as de maior massa (classes 3 a 7) apresentam embriões sem defeitos, em sua maioria ou totalidade. Quase a totalidade das sementes com embriões sem defeito germina, porém, nem todas dão origem a plântulas normais.