A pratical and eficient approach of searches for similarity to support diagnose by images. / Uma abordagem prática e eficiente de consultas por similaridade para suporte a diagnóstico por imagens.

AUTOR(ES)

Natália Abdala Rosa

DATA DE PUBLICAÇÃO

2002

RESUMO

This works presents the main characteristics of a diagnosis support system based on image similarity search for medical applications. This system was developed to be used in the Clinical Hospital of Ribeirao Preto of the University of Sao Paulo. The content-based image retrieval (CBIR) researching area has evolved greatly in the last years. Thus, a CBIR system should be able to incorporate the new techniques developed, such as, new feature extraction algorithms and indexing methods among others. Traditionally, the main features extracted from images to get the image essence are color, texture, shape and the relationship among them. Therefore, such features describe the images under analysis, and are used to index and to compare images during the content-based retrieval process. The proposed system takes advantage of a new metric access method - the Slim-tree, which allows the indexing and the retrieval of the images through their extracted features.

ASSUNTO(S)

indexação de imagens pacs cbir slim-tree content-based image retrieval imagens médicas medical images index and retrieval recuperação de imagens por conteúdo dicom

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