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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Medical image retrieval based on complexity analysis

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Autor(es):
Backes, Andre R. [1] ; Bruno, Odemir M. [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Ciencias Matemat & Computacao, Sao Paulo - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: MACHINE VISION AND APPLICATIONS; v. 21, n. 3, p. 217-227, APR 2010.
Citações Web of Science: 3
Resumo

Texture is one of the most important visual attributes used in image analysis. It is used in many content-based image retrieval systems, where it allows the identification of a larger number of images from distinct origins. This paper presents a novel approach for image analysis and retrieval based on complexity analysis. The approach consists of a texture segmentation step, performed by complexity analysis through BoxCounting fractal dimension, followed by the estimation of complexity of each computed region by multiscale fractal dimension. Experiments have been performed with MRI database in both pattern recognition and image retrieval contexts. Results show the accuracy of the method and also indicate how the performance changes as the texture segmentation process is altered. (AU)

Processo FAPESP: 06/54367-9 - Estudos de métodos de análise de complexidade em imagens
Beneficiário:André Ricardo Backes
Linha de fomento: Bolsas no Brasil - Doutorado