Combined Use of Edge Selection Operators in Individual Color Channels for the Analysis of Cytological Images Presented in RGB Format DOI Open Access
Asaad Babker,

Rania Saad Suliman,

Aisha Ali M Ghazwani

et al.

Biomedical & Pharmacology Journal, Journal Year: 2025, Volume and Issue: 18(December Spl Edition), P. 121 - 138

Published: Jan. 20, 2025

Digital medical images study, analysis and processing is one of visualization areas, which helps to improve diagnostic diseases detection, monitoring their progression treatment. In this regard, the cytological important effective, it allows study various cellular structures. One components such research allocation potential areas interest, considering specifics color presentation. The paper proposes a new combined approach for identifying interest based on edge detection operators, compared with corresponding classical methods. It shown that proposed gives results no worse than methods, some types images, even better. At same time, resulting quality assessments compactness achieved, range obtained making effective decisions expanded depending specification goals. semi-transparent background, low-contrast difference between background objects approach, in comparison approaches, provides superiority terms niqe assessment at least 10%, brisque more 20%, derivative (ME AE) – 7.5% 1%, respectively. details processed best all cases. an answer combination operators individual channels without using pre-processing methods original image. This increased efficiency clinical trials diagnosis.

Language: Английский

Combined Use of Edge Selection Operators in Individual Color Channels for the Analysis of Cytological Images Presented in RGB Format DOI Open Access
Asaad Babker,

Rania Saad Suliman,

Aisha Ali M Ghazwani

et al.

Biomedical & Pharmacology Journal, Journal Year: 2025, Volume and Issue: 18(December Spl Edition), P. 121 - 138

Published: Jan. 20, 2025

Digital medical images study, analysis and processing is one of visualization areas, which helps to improve diagnostic diseases detection, monitoring their progression treatment. In this regard, the cytological important effective, it allows study various cellular structures. One components such research allocation potential areas interest, considering specifics color presentation. The paper proposes a new combined approach for identifying interest based on edge detection operators, compared with corresponding classical methods. It shown that proposed gives results no worse than methods, some types images, even better. At same time, resulting quality assessments compactness achieved, range obtained making effective decisions expanded depending specification goals. semi-transparent background, low-contrast difference between background objects approach, in comparison approaches, provides superiority terms niqe assessment at least 10%, brisque more 20%, derivative (ME AE) – 7.5% 1%, respectively. details processed best all cases. an answer combination operators individual channels without using pre-processing methods original image. This increased efficiency clinical trials diagnosis.

Language: Английский

Citations

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