We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Medical image retrieval based on complexity analysis.
- Authors
Backes, André R.; Bruno, Odemir M.
- 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.
- Subjects
DIAGNOSTIC imaging; MEDICAL imaging systems; IMAGE storage &; retrieval systems; IMAGE analysis; PATTERN perception
- Publication
Machine Vision & Applications, 2010, Vol 21, Issue 3, p217
- ISSN
0932-8092
- Publication type
Article
- DOI
10.1007/s00138-008-0150-2