THRESHOLDING USULI YORDAMIDA TASVIRLARDAGI OBYEKT CHEGARALARINI ANIQLASH.
Keywords:
Kalit so‘zlar. Thresholding, binarizatsiya, edge detection, computer vision, kontur aniqlash, OpenCV, sun’iy intellekt, tasvirni qayta ishlashAbstract
Annotatsiya. Ushbu maqolada tasvirni qayta ishlash sohasida muhim o‘rin
tutadigan thresholding usuli yordamida obyektlarning chegaralarini aniqlash masalasi
ko‘rib chiqiladi. Thresholding — bu tasvirni binar ko‘rinishga keltirish orqali obyekt
va fonni ajratib olish imkonini beruvchi segmentatsiya usulidir. Mazkur tadqiqotda
ushbu yondashuvning nazariy asoslari, matematik formulalari hamda amaliy jihatlari
chuqur tahlil qilinadi. Xususan, global thresholding, Otsu metodi va adaptive
thresholding kabi turli algoritmlar o‘zaro taqqoslab o‘rganiladi.
References
Adabiyotlar ro‘yxati
1. Gonzalez R.C., Woods R.E. Digital Image Processing. — 4th ed. — Pearson
Education, 2018. — 1072 p.
2. Jain A.K. Fundamentals of Digital Image Processing. — Prentice-Hall, 1989.
— 569 p.
3. Otsu N. A Threshold Selection Method from Gray-Level Histograms // IEEE
Transactions on Systems, Man, and Cybernetics. — 1979. — Vol. 9, No. 1. —
P. 62–66.
4. Shapiro L.G., Stockman G.C. Computer Vision. — Prentice Hall, 2001. — 580
p.
5. Туманова О.С., Ханин А.Г. Методы бинаризации изображений и их
применение в системах технического зрения // Вестник компьютерных
и информационных технологий. — 2021. — №7. — С. 45–52.
6. OpenCV Documentation — Image Thresholding. URL: https://docs.opencv.org/
(murojaat qilingan sana: 05.06.2025)
7. Akyol E., Ugur M. Comparative study of thresholding methods for image
segmentation // International Journal of Computer Applications. — 2014. —
Vol. 89, No. 4. — P. 23–29.
