A new X-ray images enhancement method using a class of fractional differential equation
Many image-processing applications heavily depend on the quality of medical images. Due to the unpredictable variation in the captured images, medical images frequently have problems with noise or low contrast; therefore, improving medical imaging is a challenging task. For better treatment, physici...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016123002613 |
| _version_ | 1827596448843169792 |
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| author | Rasha Saad Aldoury Nadia M.G. Al-Saidi Rabha W. Ibrahim Hasan Kahtan |
| author_facet | Rasha Saad Aldoury Nadia M.G. Al-Saidi Rabha W. Ibrahim Hasan Kahtan |
| author_sort | Rasha Saad Aldoury |
| collection | DOAJ |
| description | Many image-processing applications heavily depend on the quality of medical images. Due to the unpredictable variation in the captured images, medical images frequently have problems with noise or low contrast; therefore, improving medical imaging is a challenging task. For better treatment, physicians need images with good contrast to provide the most detailed picture of the disease. The generalized k-differential equation based on the k-Caputo fractional differential operator (K-CFDO) is used in this study to determine the energy of the image pixels to improve the visual quality and provide a clearly defined problem. The logic behind using the K-CFDO approach in image enhancement is the ability of K-CFDO to efficiently capture high-frequency details using the probability of pixels as well as preserve the fine image details. Moreover, the visual quality of X-ray images is improved by performing a low-contrast X-ray image enhancement. • Determine the energy of the image pixels for better pixel intensity enhancement. • Capture high frequency image details using the image probability of pixels.The findings of this study indicate that the average Brisque, Niqe, and Piqe values for the provided chest X-ray were found to be (Brisque=23.25, Niqe=2.8, Piqe21.58), and for the dental X-ray, they were (Brisque=21.12, Niqe=3.77, Piqe=23.49). The results of this study show potential improvements with the proposed enhancement methods that may contribute to increasing efficiency in healthcare processes at rural clinics. Generally, this model improves the details of medical images, which may aid medical staff throughout the diagnostic process by increasing the efficiency and accuracy of clinical decisions. Due to the improper setting of the suggested enhancing parameters, the current study included a limitation on image over-enhancement. |
| first_indexed | 2024-03-09T03:09:41Z |
| format | Article |
| id | doaj.art-277e7062039f48b897f7fb35d8a6c203 |
| institution | Directory Open Access Journal |
| issn | 2215-0161 |
| language | English |
| last_indexed | 2024-03-09T03:09:41Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | MethodsX |
| spelling | doaj.art-277e7062039f48b897f7fb35d8a6c2032023-12-04T05:22:06ZengElsevierMethodsX2215-01612023-12-0111102264A new X-ray images enhancement method using a class of fractional differential equationRasha Saad Aldoury0Nadia M.G. Al-Saidi1Rabha W. Ibrahim2Hasan Kahtan3Department of Radiology Techniques, AL-Salam University College, Baghdad, 10064, IraqDepartment of Applied Sciences, University of Technology, Baghdad, 10066, IraqNear East University, Mathematics Research Center, Department of Mathematics, Near East Boulevard, PC:99138, Nicosia, Mersin 10, Turkey; Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon; Information and Communication Technology Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Iraq; Corresponding author.Cardiff School of Technologies, Cardiff Metropolitan University, Western Avenue, Cardiff, CF52YB, The United Kingdom; Corresponding author.Many image-processing applications heavily depend on the quality of medical images. Due to the unpredictable variation in the captured images, medical images frequently have problems with noise or low contrast; therefore, improving medical imaging is a challenging task. For better treatment, physicians need images with good contrast to provide the most detailed picture of the disease. The generalized k-differential equation based on the k-Caputo fractional differential operator (K-CFDO) is used in this study to determine the energy of the image pixels to improve the visual quality and provide a clearly defined problem. The logic behind using the K-CFDO approach in image enhancement is the ability of K-CFDO to efficiently capture high-frequency details using the probability of pixels as well as preserve the fine image details. Moreover, the visual quality of X-ray images is improved by performing a low-contrast X-ray image enhancement. • Determine the energy of the image pixels for better pixel intensity enhancement. • Capture high frequency image details using the image probability of pixels.The findings of this study indicate that the average Brisque, Niqe, and Piqe values for the provided chest X-ray were found to be (Brisque=23.25, Niqe=2.8, Piqe21.58), and for the dental X-ray, they were (Brisque=21.12, Niqe=3.77, Piqe=23.49). The results of this study show potential improvements with the proposed enhancement methods that may contribute to increasing efficiency in healthcare processes at rural clinics. Generally, this model improves the details of medical images, which may aid medical staff throughout the diagnostic process by increasing the efficiency and accuracy of clinical decisions. Due to the improper setting of the suggested enhancing parameters, the current study included a limitation on image over-enhancement.http://www.sciencedirect.com/science/article/pii/S2215016123002613X-Ray Images Enhancement |
| spellingShingle | Rasha Saad Aldoury Nadia M.G. Al-Saidi Rabha W. Ibrahim Hasan Kahtan A new X-ray images enhancement method using a class of fractional differential equation MethodsX X-Ray Images Enhancement |
| title | A new X-ray images enhancement method using a class of fractional differential equation |
| title_full | A new X-ray images enhancement method using a class of fractional differential equation |
| title_fullStr | A new X-ray images enhancement method using a class of fractional differential equation |
| title_full_unstemmed | A new X-ray images enhancement method using a class of fractional differential equation |
| title_short | A new X-ray images enhancement method using a class of fractional differential equation |
| title_sort | new x ray images enhancement method using a class of fractional differential equation |
| topic | X-Ray Images Enhancement |
| url | http://www.sciencedirect.com/science/article/pii/S2215016123002613 |
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