50 resultados para Segmentação de Imagem
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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This dissertation investigates how the neighborhood of Cidade Nova, located in the western side of the of Natal, is perceived by its residents in order to understand its socio-environmental image, intending to contribute both to define strategies of urban intervention and environmental education in the area and to consolidate a methodology that addresses this kind of problem. The completion of field research used a multimethod strategy to study the socio-environmental image of urban areas. It consists of: (a) review of local history from literature research, data recorded by the City Hall, news published on the city's newspapers and interviews with former inhabitants, (b) application of questionnaires to inhabitants including emotions, visual perception, memory and local social activities, (c) development of a drawing of the district, (d) conducting focus groups with inhabitants, using as a starting point the results obtained in the previous activities. In steps "b" and "c" attended 32 neighborhood residents, 16 of them being Community Health Workers and other 16 persons appointed by them. In step "d" 10 individuals took part, divided into two groups. The result of the research showed a picture of residents coincident with the image conveyed by the media in relation to the issues: violence, garbage, public policy/social support and appreciation of the beauties of environmental (dunes and Parque da Cidade park). Although Cidade Nova has been regarded as a dirty, noisy and dangerous place, most of the participants say they enjoy living on the neighborhood. Overall, the results corroborate and gain theoretical explanations, as they are interrelated. The socio-environmental image is expressed for instance in the elements dunes, dump, railroad tracks and Central Avenue that gain symbolic connotation influenced by time and socio-economic context. The insecurity and other negative characteristics assigned by the inhabitants and the media are parallel to the place attachment, since the environmental legibility, the time/familiarity and territoriality offer inhabitants the preference for place of residence, setting up their social identity.
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This dissertation aims to analyze the causal relationship between the quality of tourist services, satisfaction with the attributes and globally, fidelity and image of tourist destinations. Therefore, it was conducted an exploratory, descriptive research with quantitative analytical approach. Data collection was performed by a questionnaire addressed to tourists at the Augusto Severo International Airport and Bus station of Natal, the main points of entry and exit of tourists. The composition was simple random sampling by reaching the final number of 400 tourists interviewed. Among the main results, is an assessment of the quality of the components of the destination. It was noted that nine are the dimensions of perceived quality of tourism products and services of ―Sun and Sand‖ segment, that is, Beaches and Facilities, Public Equipment, Catering Services, Transportation, Hotel Equipment, Hotel Services, Entertainment & Attractions, Access to the Hotel and Hospitality. Moreover, it was concluded that the Preview Tourism Destination Image has little direct influence in the Consumer Satisfaction, and only indirectly in the Post-Purchase Behavior. While the Complex Tourism Destination Image exerts strong and direct influence on both factors, in the Customer Satisfaction Process and Loyalty, the dimensions of quality also claimed to be strongly influences both factors
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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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Mathematical Morphology presents a systematic approach to extract geometric features of binary images, using morphological operators that transform the original image into another by means of a third image called structuring element and came out in 1960 by researchers Jean Serra and George Matheron. Fuzzy mathematical morphology extends the operators towards grayscale and color images and was initially proposed by Goetherian using fuzzy logic. Using this approach it is possible to make a study of fuzzy connectives, which allows some scope for analysis for the construction of morphological operators and their applicability in image processing. In this paper, we propose the development of morphological operators fuzzy using the R-implications for aid and improve image processing, and then to build a system with these operators to count the spores mycorrhizal fungi and red blood cells. It was used as the hypothetical-deductive methodologies for the part formal and incremental-iterative for the experimental part. These operators were applied in digital and microscopic images. The conjunctions and implications of fuzzy morphology mathematical reasoning will be used in order to choose the best adjunction to be applied depending on the problem being approached, i.e., we will use automorphisms on the implications and observe their influence on segmenting images and then on their processing. In order to validate the developed system, it was applied to counting problems in microscopic images, extending to pathological images. It was noted that for the computation of spores the best operator was the erosion of Gödel. It developed three groups of morphological operators fuzzy, Lukasiewicz, And Godel Goguen that can have a variety applications
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No mercado de telecomunicações as transformações tecnológicas das últimas décadas aliaram-se a um cenário formado por empresas de alta tecnologia que caracterizam o setor de comunicações móveis pessoais em todo mundo. Neste contexto, as empresas deste setor preocupam-se cada vez mais com a competitividade, oferta de serviços, área de atendimento, demanda reprimida e a lealdade do cliente. Estudos de comportamento do consumidor pesquisam a satisfação e lealdade de clientes como fatores básicos para relações bem sucedidas e duradouras com as empresas. A complexidade das relações entre variáveis na avaliação da satisfação do cliente em comunicações móveis pode ser adequadamente pesquisada com a utilização de métodos estatísticos multivariados. Essa tese analisou as relações causais envolvendo os antecedentes e consequentes associados à satisfação do cliente, no segmento de comunicações móveis, bem como desenvolveu e validou um modelo comportamental do cliente no uso deste serviço, buscando explicar as relações entre os construtos envolvidos: satisfação, qualidade dos serviços, valor percebido, imagem da marca, lealdade e reclamação. Foi estabelecida uma ampla base teórica para avaliar a importância estratégica do modelo que relaciona a influência na satisfação do serviço com as percepções dos clientes e avaliada a precisão deste modelo, por meio de uma análise comparativa a utilização de três métodos de estimação dos seus parâmetros, MLE, GLS, e ULS, com o emprego de modelagem de equações estruturais. Foram feitas aplicações em análises de dados, sendo testada e avaliada empiricamente, a influência do gênero na satisfação do cliente deste setor, além de uma segmentação de mercado utilizando mapas auto-organizáveis e a correspondente validação deste processo, com modelagem de equações estruturais.Os resultados do estudo empírico produziram uma boa qualidade de ajustamento para o modelo teórico proposto, com evidências do estabelecimento de uma adequada capacidade explicativa e preditiva, destacando-se a relevância da relação causal entre a satisfação e lealdade, em consonância com diversos estudos realizados para os mercados de comunicações móveis.
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Este trabajo presentado, direccionado a la defensa de la disertación de maestría, intitulada ¿Lo que se quiere imagen, lo que se quiere deseo?: Entre el fabular de deseos y las construcciones imagéticas en la prosa de Fiama Hasse Pais Brandão, discute hasta donde el deseo impulse la imagen y hasta donde esta imagen es tocada por este deseo, visualizando dentro de un sistema literario poético y singular, las construcciones de la imagen junto a las fabulaciones de deseos, lo que nos expone delante de procesos de semiotización por medio de la escrita, de subjetivación, de vértigo, de sensibilización para los efectos y deseos en cuanto producción de sentido y multiplicidades estéticas en cuya letra transgresiva se aventura. En este sentido, el análisis transitará entre el discurso erótico y los problemas fundamentales que este pode, bien como el proceso de construcción de imagen, recortado por vía de discursos problematizados por el lenguaje presentado por la autora Fiama Hasse Pais Brandão. Para tanto, colocase como escopo una investigación norteada por autores como Bataille, Roland Barthes, Luiz Roberto Monzani, Suely Rolnik, Walter Benjamin, Georges Didi-Huberman, Maurice Blanchot, Félix Guattari, Gilles Deleuze, dentre otros que puedan transitar por las relaciones, en este estudio, establecidas, constituyendo el corpus teórico y de discusión, atendiendo al caráter cualitativo implicito en el desarrollo de esta disertación. Cuanto al corpus literario, este es compuesto por los contos trídos en Cuentos de la imagen (2005), de manera a constituiren cuerpo-subjetividad, envolviendo ideas, afectos, perceptos y imagens.
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The understanding of the occurrence and flow of groundwater in the subsurface is of fundamental importance in the exploitation of water, just like knowledge of all associated hydrogeological context. These factors are primarily controlled by geometry of a certain pore system, given the nature of sedimentary aquifers. Thus, the microstructural characterization, as the interconnectivity of the system, it is essential to know the macro properties porosity and permeability of reservoir rock, in which can be done on a statistical characterization by twodimensional analysis. The latter is being held on a computing platform, using image thin sections of reservoir rock, allowing the prediction of the properties effective porosity and hydraulic conductivity. For Barreiras Aquifer to obtain such parameters derived primarily from the interpretation of tests of aquifers, a practice that usually involves a fairly complex logistics in terms of equipment and personnel required in addition to high cost of operation. Thus, the analysis and digital image processing is presented as an alternative tool for the characterization of hydraulic parameters, showing up as a practical and inexpensive method. This methodology is based on a flowchart work involving sampling, preparation of thin sections and their respective images, segmentation and geometric characterization, three-dimensional reconstruction and flow simulation. In this research, computational image analysis of thin sections of rocks has shown that aquifer storage coefficients ranging from 0,035 to 0,12 with an average of 0,076, while its hydrogeological substrate (associated with the top of the carbonate sequence outcropping not region) presents effective porosities of the order of 2%. For the transport regime, it is evidenced that the methodology presents results below of those found in the bibliographic data relating to hydraulic conductivity, mean values of 1,04 x10-6 m/s, with fluctuations between 2,94 x10-6 m/s and 3,61x10-8 m/s, probably due to the larger scale study and the heterogeneity of the medium studied.
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In a crescent connected and image-made society in various online social networks, each user taking pictures of him/herself and posting them on social online network, makes a self-registration that emerges in self-representation by aggregated daily practices of various themes. This research aims to study the dynamics of the relations of this photographic self-representation relations with agency, technology, affectivity, and consumption that goes beyond narcissism, composing a being integrated with the visual power and its reverberations, which I hereby call as Being -Image. The goal of this paper is an anthropological look over these practices. In this sense, I carry out the research developed in the field of image and cyber antropology with various interlocutors established in dialogues, analysis and virtual meetings. I tried, besides conversations and interviews, to analyze the profiles on the social network as well as daily posts, photo albums available on online network , sharings and mainly selfies.
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This research seeks to reflect on the dynamics of television reception, studying the Brazilian TV miniseries Hoje é Dia de Maria, produced by Globo Television Network, and aims to generally promote inferences in the process of image reading, mainly for aesthetic reading in school context, aiming at the formation of visual proficient readers. The research was conducted with students from the third grade of a state high school, geographically located in the city of Natal, Rio Grande do Norte. The theoretical framework comes from the assumptions of cognitive social interactionism to understand language, and it is also based on the ideas of Bakhtin (1992) and Vygotsky (1998), which enabled us to understand the social interaction and the Theory of Aesthetics Reception and Aesthetic Effect with Jauss (1979) and Iser (1999), which provided a better understanding of aesthetic experience, aesthetic effects and production of meaning. The methodological approach assumes a qualitative nature and an interpretive bias, accomplished through interviews, observation, questionnaire and application of a set of investigative activities, such as introductory exposition of themes, handing out of images and mediation process. This research is the result of a research-action process in a pedagogical intervention in a state school. The results indicate that the interactional linguistic resources used by the speakers demonstrated lack of prior knowledge and repertoire regarding image reading, which initially led them to do a cursory reading. It was evident that the respondents were unaware of the initial proposal. However, throughout the meetings, it was possible to realize their transformation, because the pre-established concepts were analyzed with the help of mediation, so that the group felt more autonomous and safe to read images at the end. The survey also showed significant data, so that the school could develop new methods of teaching televisual reading.
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Ostomized is every individual that, because of a traumatic or clinical condition, it required a surgery resulting in the externalization of a hollow organ through the skin, and such temporary or permanent condition. This study has the general objective to investigate the relationship between body image and self-esteem in these individuals; as well as to verify their levels of satisfaction with their body image regarding the aspect of appearance and to evaluate the degree of self-esteem related to that condition. This is a correlational research, cross-sectional, which was accomplished in an institution in support of these users of Rio Grande do Norte state, with location in Natal. There were used three sampling instruments: a structured general questionnaire covering socio-demographic and clinical data; the Satisfaction Scale with Appearance (SSA) and the Rosenberg Self-Esteem Scale (RSS). The information obtained was analyzed with the aid of an electronic spreadsheet software. The project is according with the resolution 466/12 of the National Health Council, It was approved by the Research Ethics Committee of UFRN, under number CAAE 19159713.5.0000.5537 in August 2013. The sample consisted of 93 participants with an average age of 50.4 years (SD = 15.4). In general they had low satisfaction with their body image (M = 66.9), as regards the appearance, although maintained high levels of self-esteem (M = 34.8). Therefore, It was found a positive correlation, moderate (ρ = 0.426) and statistically significant was found (p <0.001) from the application of the Spearman correlation test. Therefore, dissatisfaction with body image is an important issue to be observed by professionals who attend ostomizeds. however, it seems, other aspects are also influencing the level of self-esteem of these individuals, who were not able to be determined in this study.
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Lung cancer is one of the most common types of cancer and has the highest mortality rate. Patient survival is highly correlated with early detection. Computed Tomography technology services the early detection of lung cancer tremendously by offering aminimally invasive medical diagnostic tool. However, the large amount of data per examination makes the interpretation difficult. This leads to omission of nodules by human radiologist. This thesis presents a development of a computer-aided diagnosis system (CADe) tool for the detection of lung nodules in Computed Tomography study. The system, called LCD-OpenPACS (Lung Cancer Detection - OpenPACS) should be integrated into the OpenPACS system and have all the requirements for use in the workflow of health facilities belonging to the SUS (Brazilian health system). The LCD-OpenPACS made use of image processing techniques (Region Growing and Watershed), feature extraction (Histogram of Gradient Oriented), dimensionality reduction (Principal Component Analysis) and classifier (Support Vector Machine). System was tested on 220 cases, totaling 296 pulmonary nodules, with sensitivity of 94.4% and 7.04 false positives per case. The total time for processing was approximately 10 minutes per case. The system has detected pulmonary nodules (solitary, juxtavascular, ground-glass opacity and juxtapleural) between 3 mm and 30 mm.
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Breast cancer is the second type of cancer that affects more women of reproductive age in Brazil. Surgical treatments include: conserving surgery or mastectomy. Aimed to evaluate body image of women undergoing breast cancer surgery, based on the scale Body Image After Breast Cancer Questionnaire. It is a descriptive, exploratory, transversal, with a quantitative approach. Data were collected in Norte-riograndense League Against Cancer, between the months from March to May 2015, after consideration of the Research Ethics Committee of that institution CAEE 35155714.1.0000.5293. The study population consisted of women undergoing breast onco-surgery. To calculate the sample considered the finite population, totaling 120 subjects, collected four guys the most. Data were analyzed by the software Statistical Package for Social Sciences version 20.0. The domain scores of the scale were evaluated using descriptive and inferential statistics. The surgical group mastectomy without reconstruction showed greater impairment of body image in the field "vulnerability", "Care for the body" and "transparency" in relation to other surgical types, and suggests susceptibility to cancer, body appearance and worry that disturb other. The Kruskal-Wallis test showed greater dissatisfaction with body image in the fields "body Stigma" and "transparency" to the radical neoplastic surgery over other surgical types. Dissatisfaction with body image and physical appearance was detected in this study in all six image fields present in scale, with emphasis on the "body Stigma" and "Transparency". This means that the body image disorder is formulated based on the perception of others about themselves and not by perception "self", which justifies the concern with appearance, with body and hide the consequences stemmed cancer. It is expected that the data obtained from the evaluation of body image presented in this study contribute to enable the assistance to oncocirurgiada woman breast integral, essential for the practice of Nursing.
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Breast cancer is the second type of cancer that affects more women of reproductive age in Brazil. Surgical treatments include: conserving surgery or mastectomy. Aimed to evaluate body image of women undergoing breast cancer surgery, based on the scale Body Image After Breast Cancer Questionnaire. It is a descriptive, exploratory, transversal, with a quantitative approach. Data were collected in Norte-riograndense League Against Cancer, between the months from March to May 2015, after consideration of the Research Ethics Committee of that institution CAEE 35155714.1.0000.5293. The study population consisted of women undergoing breast onco-surgery. To calculate the sample considered the finite population, totaling 120 subjects, collected four guys the most. Data were analyzed by the software Statistical Package for Social Sciences version 20.0. The domain scores of the scale were evaluated using descriptive and inferential statistics. The surgical group mastectomy without reconstruction showed greater impairment of body image in the field "vulnerability", "Care for the body" and "transparency" in relation to other surgical types, and suggests susceptibility to cancer, body appearance and worry that disturb other. The Kruskal-Wallis test showed greater dissatisfaction with body image in the fields "body Stigma" and "transparency" to the radical neoplastic surgery over other surgical types. Dissatisfaction with body image and physical appearance was detected in this study in all six image fields present in scale, with emphasis on the "body Stigma" and "Transparency". This means that the body image disorder is formulated based on the perception of others about themselves and not by perception "self", which justifies the concern with appearance, with body and hide the consequences stemmed cancer. It is expected that the data obtained from the evaluation of body image presented in this study contribute to enable the assistance to oncocirurgiada woman breast integral, essential for the practice of Nursing.
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Several are the areas in which digital images are used in solving day-to-day problems. In medicine the use of computer systems have improved the diagnosis and medical interpretations. In dentistry it’s not different, increasingly procedures assisted by computers have support dentists in their tasks. Set in this context, an area of dentistry known as public oral health is responsible for diagnosis and oral health treatment of a population. To this end, oral visual inspections are held in order to obtain oral health status information of a given population. From this collection of information, also known as epidemiological survey, the dentist can plan and evaluate taken actions for the different problems identified. This procedure has limiting factors, such as a limited number of qualified professionals to perform these tasks, different diagnoses interpretations among other factors. Given this context came the ideia of using intelligent systems techniques in supporting carrying out these tasks. Thus, it was proposed in this paper the development of an intelligent system able to segment, count and classify teeth from occlusal intraoral digital photographic images. The proposed system makes combined use of machine learning techniques and digital image processing. We first carried out a color-based segmentation on regions of interest, teeth and non teeth, in the images through the use of Support Vector Machine. After identifying these regions were used techniques based on morphological operators such as erosion and transformed watershed for counting and detecting the boundaries of the teeth, respectively. With the border detection of teeth was possible to calculate the Fourier descriptors for their shape and the position descriptors. Then the teeth were classified according to their types through the use of the SVM from the method one-against-all used in multiclass problem. The multiclass classification problem has been approached in two different ways. In the first approach we have considered three class types: molar, premolar and non teeth, while the second approach were considered five class types: molar, premolar, canine, incisor and non teeth. The system presented a satisfactory performance in the segmenting, counting and classification of teeth present in the images.