877 resultados para Diagnóstico por imagem - Técnicas digitais


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Pós-graduação em Medicina Veterinária - FMVZ

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Techniques of image capture have advanced along with the technologies of information and communication and unthinkable numbers of information available and imagery are stored in digital environments. The objective of this study is point out difficulties found in the construction of imagetic representations of digital resources using the instruments available for the treatment of descriptive information. The results we have the mapping of descriptive elements to digital images derived from analyzing of the schemes to guide the construction of descriptive records (AACR2R, ISBD, Graphic Materials, RDA, CDWA, CCO) and the conceptual model FRBRer. The result of this analysis conducted the conceptual model, Functional Requirements for Digital Imagetic Data RFDID to the development of more efficient ways to represent the use of imagery in order to make it available, accessible and recoverable from the data persistence descriptive, flexibility, consistency and integrity as essential requirements for the representation of the digital image.

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Microbiologia Agropecuária - FCAV

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Given the widespread use of computers, the visual pattern recognition task has been automated in order to address the huge amount of available digital images. Many applications use image processing techniques as well as feature extraction and visual pattern recognition algorithms in order to identify people, to make the disease diagnosis process easier, to classify objects, etc. based on digital images. Among the features that can be extracted and analyzed from images is the shape of objects or regions. In some cases, shape is the unique feature that can be extracted with a relatively high accuracy from the image. In this work we present some of most important shape analysis methods and compare their performance when applied on three well-known shape image databases. Finally, we propose the development of a new shape descriptor based on the Hough Transform.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)