50 resultados para Segmentação de Imagem


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A partir de la constatación de la importancia que la imagen viene ejerciendo en la sociedad actual y, más específicamente, en el proceso educativo, el presente estudio busca dilucidar algunas cuestiones referentes a la lectura de la imagen, producción de imágenes y su utilización en el proceso de enseñanza y aprendizaje. Para tanto, buscó relacionar los elementos que constituyen la narrativa visual a la perspectiva de Paulo Freire, de buscar en el contexto de vida la producción de conocimiento aliándolos las tecnologías de la imagen visando la alfabetización visual y también al acceso democrático a las nuevas tecnologías de comunicación e información. El estudio fue mediado por la elaboración de un documental en vídeo, en que enfocamos las imágenes fijas del artista local Newton Navarro, con fines de experiencia en producción y lectura de la imagen. La realización del trabajo y la aplicación en aula los colocaron delante de una nueva perspectiva educativa: el cambio de la posición de espectadores para la de productores. Eso posibilitó un nuevo mirar, donde la lectura de la imagen permitió una mayor reflexión acerca de las actuales prácticas educativas

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The scope of this study directs an investigation in search of how the blind person learns knowledge at school mediated by the image in context of an inclusive education and how it can be (or is) triggered by the adaptation of images to the tactile seizure of the blind person and his correlative process of reading. To achieve this intent we choose a qualitative approach of research and opted for the modality of case study, based on the empirical field of a public school in the city of Cruzeta, RN and as a the main subject a congenitally blind female student enrolled in high school there, focusing, often, on the discipline of geography in its words mapping. Our procedures for construction of data are directly involved to the documentary analysis of open reflective interview and observation. The base guiding theory of our assessments is located in the current understanding about the human psychological development of its educational process inside an inclusive perspective, of contemporary conceptions about the visual disability as well of image as a cultural product. Accordingly, the human person is a concrete subject, whose development is deeply marked by the culture, historically built by human society. This subject regardless of his specific features, grasping the world in an interactive and immediate way, internalising and producing culture. In this thinking, we believe that the blind person perceives in multiple senses the stimuli of his environment and acts in the world toward his integration into the social environment. The image as a product of culture, historically and socially determined, appears as a sign conventionally used as an icon that in itself concentrates knowledge of which the student who does not realize visually himself and his surroundings cannot be excluded. In this direction, the inclusive educational process must build conditions of access to knowledge for all students without distinction, including access to the interpretation of the images originally intended for the seizure strictly visual to other perceptive models. Based in this theory and adopting principles of content analysis, we circulated inside the interpretation of the data constructed from the analysis of documents, from the subject speeches, from records of the observation made in the classroom and other notes of the field daily. In the search for pictures on the school contents, adapted to the tactile seizure of blind student, was seen little and not systematic in practice and teaching at the school. It showed us the itinerary of the student life marked by a succession of supports, most of the time inappropriate and pioneers in cooling the construction of her autonomy. It also showed us the tensions and contradictions of a school environment, supposedly inclusive, that stumbles in search of its intent, in the attitudinal and cumulative barriers brought, because of its aggravating maintenance. These findings arose of crossing data around of a categorization that gives importance to 1) Concepts regarding the school inclusion, 2) Elements of the school organization, educational proposal and teaching practice, 3) Meaning of the visual image as the object of knowledge, 4) Perception in multiple senses and 5) Development and learning of the blind person before impositions of the social environment. In light of these findings we infer that it must be guaranteed to the disabled person removal of the attitudinal barriers that are against his full development and the construction of his autonomy. In that sense, should be given opportunity to the student with visual disability, similarly to all students, not only access to school, but also the dynamics of a school life efficient, that means the seizure of knowledge in all its modalities, including the imagery. To that end, there is a need of the continued training of teachers, construction of a support network in response to all needs of students, and the opportunity to development of reading skills beyond a perspective eminently focused in the sight

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The skin cancer is the most common of all cancers and the increase of its incidence must, in part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil, the non-melanoma skin cancer is the most incident in the majority of the regions. The dermatoscopy and videodermatoscopy are the main types of examinations for the diagnosis of dermatological illnesses of the skin. The field that involves the use of computational tools to help or follow medical diagnosis in dermatological injuries is seen as very recent. Some methods had been proposed for automatic classification of pathology of the skin using images. The present work has the objective to present a new intelligent methodology for analysis and classification of skin cancer images, based on the techniques of digital processing of images for extraction of color characteristics, forms and texture, using Wavelet Packet Transform (WPT) and learning techniques called Support Vector Machine (SVM). The Wavelet Packet Transform is applied for extraction of texture characteristics in the images. The WPT consists of a set of base functions that represents the image in different bands of frequency, each one with distinct resolutions corresponding to each scale. Moreover, the characteristics of color of the injury are also computed that are dependants of a visual context, influenced for the existing colors in its surround, and the attributes of form through the Fourier describers. The Support Vector Machine is used for the classification task, which is based on the minimization principles of the structural risk, coming from the statistical learning theory. The SVM has the objective to construct optimum hyperplanes that represent the separation between classes. The generated hyperplane is determined by a subset of the classes, called support vectors. For the used database in this work, the results had revealed a good performance getting a global rightness of 92,73% for melanoma, and 86% for non-melanoma and benign injuries. The extracted describers and the SVM classifier became a method capable to recognize and to classify the analyzed skin injuries

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The goal of this work is to propose a SLAM (Simultaneous Localization and Mapping) solution based on Extended Kalman Filter (EKF) in order to make possible a robot navigates along the environment using information from odometry and pre-existing lines on the floor. Initially, a segmentation step is necessary to classify parts of the image in floor or non floor . Then the image processing identifies floor lines and the parameters of these lines are mapped to world using a homography matrix. Finally, the identified lines are used in SLAM as landmarks in order to build a feature map. In parallel, using the corrected robot pose, the uncertainty about the pose and also the part non floor of the image, it is possible to build an occupancy grid map and generate a metric map with the obstacle s description. A greater autonomy for the robot is attained by using the two types of obtained map (the metric map and the features map). Thus, it is possible to run path planning tasks in parallel with localization and mapping. Practical results are presented to validate the proposal

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This work proposes the development of a Computer System for Analysis of Mammograms SCAM, that aids the doctor specialist in the identification and analysis of existent lesions in digital mammograms. The computer system for digital mammograms processing will make use of a group of techniques of Digital Image Processing (DIP), with the purpose of aiding the medical professional to extract the information contained in the mammogram. This system possesses an interface of easy use for the user, allowing, starting from the supplied mammogram, a group of processing operations, such as, the enrich of the images through filtering techniques, the segmentation of areas of the mammogram, the calculation the area of the lesions, thresholding the lesion, and other important tools for the medical professional's diagnosis. The Wavelet Transform will used and integrated into the computer system, with the objective of allowing a multiresolution analysis, thus supplying a method for identifying and analyzing microcalcifications

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Image segmentation is one of the image processing problems that deserves special attention from the scientific community. This work studies unsupervised methods to clustering and pattern recognition applicable to medical image segmentation. Natural Computing based methods have shown very attractive in such tasks and are studied here as a way to verify it's applicability in medical image segmentation. This work treats to implement the following methods: GKA (Genetic K-means Algorithm), GFCMA (Genetic FCM Algorithm), PSOKA (PSO and K-means based Clustering Algorithm) and PSOFCM (PSO and FCM based Clustering Algorithm). Besides, as a way to evaluate the results given by the algorithms, clustering validity indexes are used as quantitative measure. Visual and qualitative evaluations are realized also, mainly using data given by the BrainWeb brain simulator as ground truth

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

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In Simultaneous Localization and Mapping (SLAM - Simultaneous Localization and Mapping), a robot placed in an unknown location in any environment must be able to create a perspective of this environment (a map) and is situated in the same simultaneously, using only information captured by the robot s sensors and control signals known. Recently, driven by the advance of computing power, work in this area have proposed to use video camera as a sensor and it came so Visual SLAM. This has several approaches and the vast majority of them work basically extracting features of the environment, calculating the necessary correspondence and through these estimate the required parameters. This work presented a monocular visual SLAM system that uses direct image registration to calculate the image reprojection error and optimization methods that minimize this error and thus obtain the parameters for the robot pose and map of the environment directly from the pixels of the images. Thus the steps of extracting and matching features are not needed, enabling our system works well in environments where traditional approaches have difficulty. Moreover, when addressing the problem of SLAM as proposed in this work we avoid a very common problem in traditional approaches, known as error propagation. Worrying about the high computational cost of this approach have been tested several types of optimization methods in order to find a good balance between good estimates and processing time. The results presented in this work show the success of this system in different environments

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Microstrip antennas are widely used in modern telecommunication systems. This is particularly due to the great variety of geometries and because they are easily built and integrated to other high frequency devices and circuits. This work presents a study of the properties of the microstrip antenna with an aperture impressed in the conducting patch. Besides, the analysis is performed for isotropic and anisotropic dielectric substrates. The Multiport Network Model MNM is used in combination with the Segmentation Method and the Greens function technique in the analysis of the considered microstrip antenna geometries. The numerical analysis is performed by using the boundary value problem solution, by considering separately the impedance matrix of the structure segments. The analysis for the complete structure is implemented by choosing properly the number and location of the neighboor element ports. The numerial analysis is performed for the following antenna geometries: resonant cavity, microstrip rectangular patch antenna, and microstrip rectangular patch antenna with aperture. The analysis is firstly developed for microstrip antennas on isotropic substrates, and then extended to the case of microstrip antennas on anisotropic substrates by using a Mapping Method. The experimental work is described and related to the development of several prototypes of rectangular microstrip patch antennas wtih and without rectangular apertures. A good agreement was observed between the simulated and measured results. Thereafter, a good agreement was also observed between the results of this work and those shown in literature for microstrip antennas on isotropic substrates. Furthermore, results are proposed for rectangular microstrip patch antennas wtih rectangular apertures in the conducting patch

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There has been an increasing tendency on the use of selective image compression, since several applications make use of digital images and the loss of information in certain regions is not allowed in some cases. However, there are applications in which these images are captured and stored automatically making it impossible to the user to select the regions of interest to be compressed in a lossless manner. A possible solution for this matter would be the automatic selection of these regions, a very difficult problem to solve in general cases. Nevertheless, it is possible to use intelligent techniques to detect these regions in specific cases. This work proposes a selective color image compression method in which regions of interest, previously chosen, are compressed in a lossless manner. This method uses the wavelet transform to decorrelate the pixels of the image, competitive neural network to make a vectorial quantization, mathematical morphology, and Huffman adaptive coding. There are two options for automatic detection in addition to the manual one: a method of texture segmentation, in which the highest frequency texture is selected to be the region of interest, and a new face detection method where the region of the face will be lossless compressed. The results show that both can be successfully used with the compression method, giving the map of the region of interest as an input

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The treatment of wastewaters contaminated with oil is of great practical interest and it is fundamental in environmental issues. A relevant process, which has been studied on continuous treatment of contaminated water with oil, is the equipment denominated MDIF® (a mixer-settler based on phase inversion). An important variable during the operation of MDIF® is the water-solvent interface level in the separation section. The control of this level is essential both to avoid the dragging of the solvent during the water removal and improve the extraction efficiency of the oil by the solvent. The measurement of oil-water interface level (in line) is still a hard task. There are few sensors able to measure oil-water interface level in a reliable way. In the case of lab scale systems, there are no interface sensors with compatible dimensions. The objective of this work was to implement a level control system to the organic solvent/water interface level on the equipment MDIF®. The detection of the interface level is based on the acquisition and treatment of images obtained dynamically through a standard camera (webcam). The control strategy was developed to operate in feedback mode, where the level measure obtained by image detection is compared to the desired level and an action is taken on a control valve according to an implemented PID law. A control and data acquisition program was developed in Fortran to accomplish the following tasks: image acquisition; water-solvent interface identification; to perform decisions and send control signals; and to record data in files. Some experimental runs in open-loop were carried out using the MDIF® and random pulse disturbances were applied on the input variable (water outlet flow). The responses of interface level permitted the process identification by transfer models. From these models, the parameters for a PID controller were tuned by direct synthesis and tests in closed-loop were performed. Preliminary results for the feedback loop demonstrated that the sensor and the control strategy developed in this work were suitable for the control of organic solvent-water interface level

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In this work, we analyzed reading memories of mother language teachers in continuing education context. Our objective was to understand how each individual has built his/her reader image. Our theoretical approach to the construction of selfimage was based on the concept of discursive ethos, understanding it with Charaudeau (2006) as something constructed in the intersection of glances (of the self and the other). To understand how each teacher has built his/her reader image in that intertwining of glances (of the self and the other) we are on the contributions of Bakhtin (2003, 2010b) on exotopic glance or distant/external glance. Therefore, in the analysis, we tried to capture the exotopic glance of the teachers about themselves in the various stages of their reader formation and from our exotopic look of researcher; we gave provisional finish of the reader image that teachers built of themselves. For the analysis, we adopted other theoretical assumptions: about genres, theme, composition and style, statement and social voices we based on Bakhtin (1997, 2003, 2010a, 2010b); on the notion of the discursive ethos we anchored in studies conducted by Maingueneau (2008a, 2008b); about reading, we adopted the theoretical references of Rojo (2005, 2008, 2009a, 2009b, 2009c, 2009d), Garcez (2002), Freire (2008) and Silva Neto (2007). For the discursive genre reading memories makes reference to the theme memory as well as is related to the context of teacher training, the study was supported in Aragão (1992) and Nóvoa`s (2007) theory. Situated in the area of Applied Linguistics, the research aligns with qualitative-interpretative approach of socio-historical basis. Finally, from the analysis of the corpus, data that emerged from the findings, we conclude by stating that readers have created images of themselves as active readers, readers interested in both readings, the ones respected and the ones unappreciated by the official culture

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The present work seeks essentially to demonstrate how some anthropological structures of the imaginary, theorized by the French thinker Gilbert DURAND, projected themselves in a noticeable manner in the poetic work of the Brazilian poet Orides FONTELA. Chiefly we will demonstrate with great care in what way this projection and vivification occur through an imagination that not only materializes some fundamental archetypes of the human imagination, but also seeks to organize them through original poems in its form of presenting the poetic discourse, giving here a different contribution of the mythical or religious discourse, privileged places, since always, where the symbolic functions also manifest themselves

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O tema deste trabalho é o Jornalismo Cultural. Uma apresentação e discussão de temas pertinentes ao jornalismo especializado em cultura nas páginas do jornal diário. A partir da leitura de alguns jornais, se traça considerações gerais acerca dos caminhos do jornalismo e dos estudos sobre jornalismo com o objetivo de apresentar o jornal que hoje se produz no Brasil, em texto, imagem e cor. O resultado é a descoberta do jornal como forma, desde o texto, escolhas lexicais e sintáticas, passando pelas imagens, composição, escolha e determinação da pauta, ao arranjo destes elementos na página, em respeito ao projeto editorial de diagramação. A conclusão a que se chega que há vários "eus" que governam o jornal diário, e que fazem o jornalismo cultural inovador, porta de entrada às mudanças no jornalismo.