C++ VA OPENCV YORDAMIDA TASVIR MATRITSASIDA FILTR QO‘LLASH

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Issue: Vol. 4 No. 12 Part 2 : Central Asian Journal of Education and Innovation
Section: Articles
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Qo‘qon universiteti, Raqamli texnologiyalar va matematika kafedrasi
botirovmuzaffarmansurov@gmail.com

Abstract:

Ushbu maqolada C++ dasturlash tili va OpenCV kutubxonasi yordamida tasvirlarga konvolyutsion filtrlar qo‘llash usullari ko‘rib chiqiladi. Asosiy e’tibor yumshatish (blur) va aniqlashtirish (sharpen) filtrlari qo‘llashga qaratilgan bo‘lib, ularning nazariy asoslari, amaliy dasturiy implementatsiyasi va eksperimental natijalari tahlil qilinadi. Konvolyutsion matritsalar orqali tasvirlarni qayta ishlash jarayoni batafsil yoritilgan, shuningdek, turli kernel o‘lchamlari va parametrlar tasvir sifatiga qanday ta’sir qilishi o‘rganilgan. Tadqiqot natijalari kompyuter ko‘rishi, tibbiy tasvir tahlili va multimedia tizimlarida filtr qo‘llashning ahamiyatini ko‘rsatadi.

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How to Cite:

Botirov , M. . (2025). C++ VA OPENCV YORDAMIDA TASVIR MATRITSASIDA FILTR QO‘LLASH. Central Asian Journal of Education and Innovation, 4(12 Part 2), 164–171. Retrieved from https://in-academy.uz/index.php/cajei/article/view/70805

References:

Gonzalez, R. C., & Woods, R. E. (2018). Digital Image Processing. Pearson Education.

Bradski, G., & Kaehler, A. (2008). Learning OpenCV: Computer Vision with the OpenCV Library. O‘Reilly Media.

Szeliski, R. (2022). Computer Vision: Algorithms and Applications. Springer.

Botirov, M. (2025). C++ va OpenCV yordamida tasvirlarni qayta ishlash usullari. Qo‘qon universiteti ilmiy ishlanmalari to‘plami.

Pratt, W. K. (2007). Digital Image Processing. John Wiley & Sons.

OpenCV Documentation: https://docs.opencv.org/

Forsyth, D. A., & Ponce, J. (2012). Computer Vision: A Modern Approach. Pearson Education.