A new approach for content-based image retrieval for medical applications using low-level image descriptors

Mohammed Qassim Shatnawi (Jordan University of Science and Technology)
Mohammad Alrousan (Jordan University of Science and Technology)
Suzan Amareen (Jordan University of Science and Technology)

International Journal of Electrical and Computer Engineering
Vol 10, No 4: August 2020

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.