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MEDICAL IMAGE CONTRAST ASSESSMENT FROM MULTISPIRAL COMPUTER TOMOGRAPHY SCANNER NO-REFERENCE ASSESSMENT: RMS, HARALICK, GCF

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Scientific Journal of Vehicles and Roads

Scientific Journal of Vehicles and Roads

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ARTICLE ANNOTATION

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In medicine, medical images are of great importance in providing information about the patient, and their visual appearance, more information, and informativeness depend on the contrast. Image contrast estimation is crucial in medical imaging, especially in the context of multispiral CT scanners. The purpose of this research work is to determine the optimal evaluation criteria for the quantitative evaluation of image contrast in medical images obtained from multispiral computed tomography scanners. In this case, three parameters were selected: Global Contrast Factor, Haralick contrast and Root Mean Square, as a result of conducting experiments using different sets of medical images obtained from multispiral computed tomography scanners.

AUTHORS

N.Mamatov

National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers"

F.Khadjibaev

Republican Research Centre of Emergency Medicine

M.Jalelova

Karakalpak State University named after Berdakh

Tags

# image# index# тасвир# contrast# кўрсаткич# изображение# индекс# контраст# multispiral computed tomography# methods of contrast enhancement# RMS# GCF# методы контрастного усиления# контраст ошириш усуллари

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Article Identifiers

ROI:

https://eroi.uz/11.0206/A0524-0078

DOI:

Not Available

References

1. Beghdadi, Azeddine & Qureshi, Muhammad & Amirshahi, Seyed Ali & Chetouani, Aladine & Pedersen, Marius. (2020). A Critical Analysis on Perceptual Contrast and Its Use in Visual Information Analysis and Processing. IEEE Access. PP. 1-1. 10.1109/ACCESS.2020.3019350.

2. Голуб Ю.И., Старовойтов Ф.В. Исследование локальных оценок контраста цифровых изображений при отсутствии эталона // Системный анализ и прикладная информатика. 2019. №2. URL: https://cyberleninka.ru/article/n/issledovanie-lokalnyh-otsenok kontrasta-tsifrovyh-izobrazheniy-pri-otsutstvii-etalona

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4.https://www.kaggle.com/datasets/akhileshdkapse/super-image-resolution

5.https://www.kaggle.com/datasets/andrewmvd/face-mask-detection