Paper
16 April 2014 X-ray image retrieval system based on visual feature discrimination
Heelah A. Alraqibah, Ouiem Bchir, Mohamed Maher Ben Ismail
Author Affiliations +
Proceedings Volume 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014); 91591S (2014) https://doi.org/10.1117/12.2064512
Event: Sixth International Conference on Digital Image Processing, 2014, Athens, Greece
Abstract
In this paper, we propose a medical content based image retrieval system based on efficient discrimination between visual descriptors within each image category. In addition, the proposed approach reduces the search space during the retrieval phase by incorporating an unsupervised learning and feature weighing component. We use a collection of X-ray images from ImageCLEF2009 data set in order to assess the performance of the system. The obtained results show that the proposed approach is faster than typical content based image retrieval.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Heelah A. Alraqibah, Ouiem Bchir, and Mohamed Maher Ben Ismail "X-ray image retrieval system based on visual feature discrimination", Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 91591S (16 April 2014); https://doi.org/10.1117/12.2064512
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Visualization

Image retrieval

X-rays

Feature extraction

X-ray imaging

Image processing

Content based image retrieval

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