Texnik ko‘rish tizimlari uchun tasvirni qayta ishlash algoritmlari va matematik modellashtirish
Qabul qilingan: 2026-06-04
Nashr etilgan: 2026-06-06
Annotatsiya
Mazkur maqolada texnik ko‘rish tizimlarining matematik modeli hamda tasvirni qayta ishlash algoritmlari tahlil qilinadi. Tadqiqot davomida texnik ko‘rish tizimining asosiy komponentlari, kamera proyeksiya modeli, tasvirni filtrlash, segmentatsiya va obyekt parametrlarini aniqlash jarayonlari ko‘rib chiqildi. Olingan natijalar texnik ko‘rish tizimlari yordamida obyektlarning geometrik koordinatalarini aniqlash mumkinligini ko‘rsatdi. Tadqiqot natijalari sanoat avtomatlashtirish tizimlarida, robototexnikada va qishloq xo‘jaligi mahsulotlarini saralash jarayonlarida qo‘llanishi mumkin.
Kalit so‘zlar
Adabiyotlar ro'yxati
-
Szeliski R. Computer Vision: Algorithms and Applications. Springer, 2022.
-
Goodfellow I., Bengio Y., Courville A. Deep Learning. MIT Press, 2016.
-
Bradski G., Kaehler A. Learning OpenCV 4. O’Reilly Media, 2019.
-
Prince S. Computer Vision: Models, Learning and Inference. Cambridge University Press, 2018.
-
Gonzalez R., Woods R. Digital Image Processing. Pearson, 2018.
-
Davies E. Computer Vision: Principles, Algorithms and Applications. Academic Press, 2017.
-
Zhang J., Hu Y. Image Segmentation Using Deep Learning. IEEE TPAMI, 2019.
-
Hartley R., Zisserman A. Multiple View Geometry in Computer Vision. Cambridge University Press, 2016.
-
Sonka M., Hlavac V., Boyle R. Image Processing, Analysis, and Machine Vision. Cengage Learning, 2015.
-
Forsyth D., Ponce J. Computer Vision: A Modern Approach. Pearson, 2016.
Mualliflar haqida
Litsenziya
Mualliflik huquqi (c) 2026 MMIT Proceedings
This work is licensed under a Creative Commons Attribution 4.0 International License.