Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.
 

Pixel’s Quantum Image Enhancement Using Quantum Calculus

dc.contributor.authorYahya, Husam
dc.contributor.authorBaleanu, Dumitru
dc.contributor.authorIbrahim, Rabha W.
dc.contributor.authorAl-Saidi, Nadia M.G.
dc.contributor.authorID56389tr_TR
dc.date.accessioned2024-01-23T13:32:44Z
dc.date.available2024-01-23T13:32:44Z
dc.date.issued2023
dc.departmentÇankaya Üniversitesi, Fen - Edebiyat Fakültesi, Matematik Bölümüen_US
dc.description.abstractThe current study provides a quantum calculus-based medical image enhancement technique that dynamically chooses the spatial distribution of image pixel intensity values. The technique focuses on boosting the edges and texture of an image while leaving the smooth areas alone. The brain Magnetic Resonance Imaging (MRI) scans are used to visualize the tumors that have spread throughout the brain in order to gain a better understanding of the stage of brain cancer. Accurately detecting brain cancer is a complex challenge that the medical system faces when diagnosing the disease. To solve this issue, this research offers a quantum calculus-based MRI image enhancement as a pre-processing step for brain cancer diagnosis. The proposed image enhancement approach improves images with low gray level changes by estimating the pixel’s quantum probability. The suggested image enhancement technique is demonstrated to be robust and resistant to major quality changes on a variety of MRI scan datasets of variable quality. For MRI scans, the BRISQUE “blind/referenceless image spatial quality evaluator” and the NIQE “natural image quality evaluator” measures were 39.38 and 3.58, respectively. The proposed image enhancement model, according to the data, produces the best image quality ratings, and it may be able to aid medical experts in the diagnosis process. The experimental results were achieved using a publicly available collection of MRI scans.en_US
dc.identifier.citationYahya, Husam;...et.al. (2023). "Pixel’s Quantum Image Enhancement Using Quantum Calculus", Computers, Materials and Continua, Vol.74, No.2, pp.2531-2539.en_US
dc.identifier.doi10.32604/cmc.2023.033282
dc.identifier.endpage2539en_US
dc.identifier.issn15462218
dc.identifier.issue2en_US
dc.identifier.startpage2531en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12416/6942
dc.identifier.volume74en_US
dc.language.isoenen_US
dc.relation.ispartofComputers, Materials and Continuaen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBrain Canceren_US
dc.subjectBRISQUEen_US
dc.subjectImage Enhancementen_US
dc.subjectImage Processingen_US
dc.subjectMRIen_US
dc.subjectNIQEen_US
dc.subjectQuantum Calculusen_US
dc.titlePixel’s Quantum Image Enhancement Using Quantum Calculustr_TR
dc.titlePixel’s Quantum Image Enhancement Using Quantum Calculusen_US
dc.typeArticleen_US
dspace.entity.typePublication

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Article.pdf
Size:
985.13 KB
Format:
Adobe Portable Document Format
Description:
Yayıncı sürümü

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: