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A framework for content-based human brain magnetic resonance images retrieval using saliency map

Tarjoman, M ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. DOI: 10.4015/S1016237213500452
  3. Publisher: 2013
  4. Abstract:
  5. Content-based image retrieval (CBIR) makes use of low-level image features, such as color, texture and shape, to index images with minimal human interaction. Considering the gap between low-level image features and the high-level semantic concepts in the CBIR, we proposed an image retrieval system for brain magnetic resonance images based on saliency map. The saliency map of an image contains important image regions which are visually more conspicuous by virtue of their contrast with respect to surrounding regions. First, the proposed approach exploits the ant colony optimization (ACO) technique to measure the image's saliency through ants' movements on the image. The textural features are then calculated from the saliency map of the images. The image indexing is done with an adaptive neuro-fuzzy inference system (ANFIS), which can categorize the magnetic resonance images as normal or tumoral. In online image retrieval, a query image is introduced to the system and the system will return the relevant images. The experimental result shows the accuracy of 98.67% for the image retrieval in our proposed system and improves the retrieval efficiency in compare with the classical CBIR systems
  6. Keywords:
  7. Magnetic resonance image ; Adaptive neuro-fuzzy inference system ; ANFIS ; Ant Colony Optimization (ACO) ; Brain magnetic resonance images ; Content based image retrieval ; Image retrieval systems ; Low-level image features ; Saliency map ; Artificial intelligence ; Magnetic resonance imaging ; Semantics ; Search engines ; Accuracy ; Brain mapping ; Content based image retrieval ; Contrast ; Human ; Image retrieval ; Neuroimaging ; Nuclear magnetic resonance imaging
  8. Source: Biomedical Engineering - Applications, Basis and Communications ; Volume 25, Issue 4 , 2013 ; 10162372 (ISSN)
  9. URL: http://www.worldscientific.com/doi/abs/10.4015/S1016237213500452