Caracterização de imagens utilizando redes neurais artificiais

• Ano de defesa: 2009
• Autor(a) principal: Ribeiro, Eduardo Ferreira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Uberlândia; BR; Programa de Pós-graduação em Ciência da Computação; Ciências Exatas e da Terra; UFU
• Palavras-chave em Português: Caracterização de imagens; Tranformação de características; Características de baixo nível; Recuperação de imagens; Redes neurais artificiais; Processamento de imagens - Técnicas digitais; Redes neurais (Computação); Image characterization; Feature transformation; Low-level features; Neural networks; Image retrieval; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufu.br/handle/123456789/12481

Image representation in Content Based Image Retrieval systems is a fundamental task. The results obtained by these systems strongly depend on the choice of features selected to represent an image. Works in the literature show that intelligent techniques are used to minimize the semantic gap between the limited power of machine interpretation and human subjectivity. In this work the use of artificial neural networks to characterize images in a high-level space from an initial characterization based on low-level features (color, shape and texture) is proposed. Experiments on 3 databases of various kinds, one with general images (BD-12750 ), one with texture images (Vistex-167 ) and other with buildings (ZuBuD) are performed to exemplify the application of the method and to show the effectiveness of the model. Furthermore, the application of the proposed method in the high-level characterization of complex motions patterns is presented.