RAQAMLI TASVIRLARNI BINARIZATSIYALASH. GLOBAL, ADAPTIV VA OTSU USULLARINING SAMARADORLIGINI TAJRIBAVIY BAHOLASH
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Keywords

Raqamli tasvirni qayta ishlash
segmentatsiya
binarizatsiya
global chegaralash
adaptiv chegaralash
Otsu usuli
OpenCV
F1 ko‘rsatkichi
notekis yoritilganlik
tasvir shovqini.

How to Cite

RAQAMLI TASVIRLARNI BINARIZATSIYALASH. GLOBAL, ADAPTIV VA OTSU USULLARINING SAMARADORLIGINI TAJRIBAVIY BAHOLASH. (2026). Qo‘qon DPI. Ilmiy Xabarlar Jurnali, 8(07.), 115-121. https://doi.org/10.70728/c.series.ped.v08.i07.016

Abstract

Ushbu maqolada raqamli tasvirlarni ikkilik (binar) ko‘rinishga o‘tkazishda qo‘llaniladigan uchta asosiy chegaralash usuli – global, adaptiv va Otsu usullari – sintetik matnsimon test tasvirlari asosida tajribaviy tarzda o‘rganilgan va o‘zaro solishtirilgan.
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References

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6. Pratikakis, I., Zagoris, K., Barlas, G., & Gatos, B. (2019). ICDAR 2019 Competition on Document Image Binarization (DIBCO 2019). In Proceedings of the International Conference on Document Analysis and Recognition (ICDAR).

7. OpenCV Development Team. (2024). Image Thresholding – OpenCV-Python Tutorials. https://docs.opencv.org/