Combined use of Edge Selection Operators in Individual Color Channels for the Analysis of Cytological Images Presented in RGB Format

Asaad Babker; Rania Saad Suliman; Aisha Ali M Ghazwani; Wiam Al Harbi; Lyashenko, V.

Публікація:
Combined use of Edge Selection Operators in Individual Color Channels for the Analysis of Cytological Images Presented in RGB Format

dc.contributor.author	Asaad Babker
dc.contributor.author	Rania Saad Suliman
dc.contributor.author	Aisha Ali M Ghazwani
dc.contributor.author	Wiam Al Harbi
dc.contributor.author	Lyashenko, V.
dc.date.accessioned	2025-03-20T13:31:25Z
dc.date.available	2025-03-20T13:31:25Z
dc.date.issued	2025
dc.description.abstract	Digital medical images study, analysis and processing is one of medical visualization areas, which helps to improve diagnostic diseases and detection, monitoring their progression and treatment. In this regard, the analysis of cytological images is important and effective, it allows to study various cellular structures. One of the components of such research is the allocation of potential areas of interest, considering the specifics of color medical images presentation. The paper proposes a new combined approach for identifying potential areas of interest based on edge detection operators, which is compared with the corresponding classical methods. It is shown that the proposed combined approach gives results no worse than classical methods, and for some types of images, even better. At the same time, resulting images quality assessments compactness is achieved, the range of the obtained results for making effective decisions is expanded depending on the specification of the analysis goals. It is shown that for images with a semi-transparent background, low-contrast difference between the background and objects of interest the proposed approach, in comparison with classical approaches, provides superiority in terms of niqe quality assessment of at least 10%, brisque quality assessment of more than 20%, derivative assessments (ME and AE) – 7.5% and 1%, respectively. The analysis of potential areas of interest details based on the processed images visualization results is the best for the combined approach in all cases. At the same time, the study provides an answer to the best combination of edge detection operators in individual color channels and without using pre-processing methods of the original image. This allows for increased efficiency of clinical trials in making a diagnosis.
dc.identifier.citation	Combined use of Edge Selection Operators in Individual Color Channels for the Analysis of Cytological Images Presented in RGB Format / Asaad Babker, Rania Saad Suliman, Aisha Ali M Ghazwani, Wiam Al Harbi, V. Lyashenko // Biomedical and Pharmacology Journal. – 2025. – Vol. 18(Spl.). – P. 121-138.
dc.identifier.issn	0974-6242
dc.identifier.uri	https://openarchive.nure.ua/handle/document/30069
dc.language.iso	en
dc.publisher	Biomedical and Pharmacology Journal
dc.subject	Color Channels
dc.subject	Cytological Image
dc.title	Combined use of Edge Selection Operators in Individual Color Channels for the Analysis of Cytological Images Presented in RGB Format
dc.type	Article
dspace.entity.type	Publication