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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Medical image retrieval based on complexity analysis

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Author(s):
Backes, Andre R. [1] ; Bruno, Odemir M. [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Inst Ciencias Matemat & Computacao, Sao Paulo - Brazil
Total Affiliations: 1
Document type: Journal article
Source: MACHINE VISION AND APPLICATIONS; v. 21, n. 3, p. 217-227, APR 2010.
Web of Science Citations: 3
Abstract

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)