Proposal of a perception color histogram as characteristic for content-based image retrieval / Proposta de um histograma perceptual de cores como característica para recuperação de imagens baseada em conteúdo

AUTOR(ES)
DATA DE PUBLICAÇÃO

2006

RESUMO

This work aims at establishing a digital image classification methodology based on perceptual colors, by generating a feature vector that allows retrieving images from a database by their content. In related works the methodologies of grouping the diverse possible colors of an image do not allow associate digitized colors and those colors perceived by human beings. Studies show that the majority of human being culture associates only eleven terms to all the possible colors: red, yellow, blue, green, pink, brown, black, white, purple, orange and gray. This work purpose a methodology based on fuzzy logic that allows to associate the eleven cultural color terms with all of digitized colors by a perceptual color histogram. The image color quantization generates a feature vector used for content-based image retrieval. The results show that it is possible to use the perceptual color histogram for CBIR and in the semantic gap reduction.

ASSUNTO(S)

color perception lógica fuzzy percepção da cor histograma perceptual color models recuperação de imagens baseada em conteúdo (cbir) content-based image retrieval (cbir) feature vector modelos de cores perceptual color histogram vetor de características fuzzy logic

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