Jalab, Hamid A. and Ibrahim, Rabha W. and Hasan, Ali M. and Karim, Faten Khalid and Al-Shamasneh, Ala'a R. and Baleanu, Dumitru (2021) A new medical image enhancement algorithm based on fractional calculus. CMC-Computers Materials & Continua, 68 (2). pp. 1467-1483. ISSN 1546-2218, DOI https://doi.org/10.32604/cmc.2021.016047.
Full text not available from this repository.Abstract
The enhancement of medical images is a challenging research task due to the unforeseeable variation in the quality of the captured images. The captured images may present with low contrast and low visibility, which might influence the accuracy of the diagnosis process. To overcome this problem, this paper presents a new fractional integral entropy (FITE) that estimates the unforeseeable probabilities of image pixels, posing as the main contribution of the paper. The proposed model dynamically enhances the image based on the image contents. The main advantage of FITE lies in its capability to enhance the low contrast intensities through pixels? probability. Initially, the pixel probability of the fractional power is utilized to extract the illumination value from the pixels of the image. Next, the contrast of the image is then adjusted to enhance the regions with low visibility. Finally, the fractional integral entropy approach is implemented to enhance the low visibility contents from the input image. Tests were conducted on brain MRI, lungs CT, and kidney MRI scans datasets of different image qualities to show that the proposed model is robust and can withstand dramatic variations in quality. The obtained comparative results show that the proposed image enhancement model achieves the best BRISQUE and NIQE scores. Overall, this model improves the details of brain MRI, lungs CT, and kidney MRI scans, and could therefore potentially help the medical staff during the diagnosis process.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Fractional calculus; Image enhancement; Brain MRI; Lungs CT; Kidney MRI |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 21 Jul 2022 04:51 |
| Last Modified: | 21 Jul 2022 04:51 |
| URI: | http://eprints.um.edu.my/id/eprint/28253 |
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