Medical image retrieval based on complexity analysis

Autor(es)

Backes, Andre R. ^[1] ; Bruno, Odemir M. ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Ciencias Matemat & Computacao, Sao Paulo - Brazil

• 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