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Suzan Amareen
Jordan University of Science and Technology
Computer Science & IT Electrical & Electronics Engineering

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A new approach for content-based image retrieval for medical applications using low-level image descriptors Mohammed Qassim Shatnawi; Mohammad Alrousan; Suzan Amareen
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (849.973 KB) | DOI: 10.11591/ijece.v10i4.pp4363-4371

Abstract

Content based image retrieval (CBIR) has become an important factor in medical imaging research and is obtaining a great success. More applications still need to be developed to get more powerful systems for better image similarity matching, and as a result getting better image retrieval systems. This research focuses on implementing low-level descriptors to maximize the quality of the retrieval of medical images. Such a research is supposed to set a better result in terms of image similarity matching. In this research a system that uses low-level descriptors is introduced. Three descriptors have been developed and applied in an attempt to increase the accuracy of image matching. The final results showed a qualified system in medical images retrieval specially that the low-level image descriptors have not been used yet in the image similarity matching in the medical field.
Co-Authors Mohammad Alrousan Mohammed Qassim Shatnawi