VIZUALLASHTIRISH TIZIMLARIDA YOMG‘IR VA QOR MUAMMOLARINI TASVIRGA DASTLABGI ISHLOV BERISH YORDAMIDA BARTARAF ETISH

Авторы

  • Maftuna Bekmirzayeva Muhammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti

Ключевые слова:

yomg‘ir, tasvir, kamera, piksel, intensivlik, qor

Аннотация

Mazkur maqolaning mazmuni yomg‘ir-qorli ob-havo sharoitida olingan rangli tasvirlarda  yomg‘ir chiziqlarini tozalashdir, bu muammo tasvirni qayta ishlash algoritmidan foydalangan holda bartaraf etiladi. Amaldagi algoritm yomg‘irdan kelib chiqqan tasvir nuqsonlarini qayta ishlaydi. Yomg‘ir paytida olingan tasvirni 1) past chastotali qismga bo‘lish mumkin, ya’ni yomg‘ir va qor chiziqlari bo‘lmagan tasvir 2) tasvirda ba’zi yoki bir nechta tafsilotlarni ham o‘z ichiga olgan yuqori chastotali qism. Yomg‘irdan kelib chiqqan nuqsonlarni L0 gradientini minimallashtirish texnikasi deb nomlangan usul yordamida tozalash mumkin. Ushbu usulning asosiy roli yomg‘ir piksellarini olib tashlash orqali yomg‘irli tasvirdagi yomg‘ir chiziqlarini tekislashdir. Yomon ob-havo sharoitida olingan tasvirlarni qayta ishlashda qor va yomg‘ir ikkita asosiy muammo hisoblanadi. Ushbu uslub tasvirda mavjud bo‘lgan nolga teng bo‘lmagan gradient sonini boshqarishi mumkin. Yomg‘ir chiziqlarining qirralari saqlanib qoladi va nuqsonlar kamayadi. Yaxshilangan kontrastli tasvirni olish uchun gistogrammani sozlash texnikasi deb nomlangan usul qo‘llaniladi.

Библиографические ссылки

Beknazarova S.S., Bekmirzayeva M.Sh. Vizuallashtirish tizimlarida tasvirlarga tumanni ta’sir darajasini oʻrganish. 2023 № 4(6) raqamli tеxnologiyalarning nazariy va amaliy masalalari xalqaro jurnali ISSN 2181-3086(53-57) https://ijdt.uz/index.php/ijdt/issue/view/7

Yinglong Wang, Shuaicheng Liu, Chen Chen, Bing Zeng. A Hierarchical Approach for Rain or Snow Removing in a Single Color Image, IEEE Transactions on Image Processing, 2017.

Ming Zhou, Zhichao Zhu, Rong Deng, Shuai Fang. Rain detection and removal of sequential images”, 2011 Chinese Control and Decision Conference (CCDC), 2011.

Chen, Duan-Yu, Chien-Cheng Chen, and Li-Wei Kang. Visual Depth Guide Color Image Rain Streaks Removal Using Sparse Coding, IEEE Transactions on circuits and system for Video Technology, 2014.

Tangwen Yang, Venant Nsabimana, Bufang Wang, Yantao Sun, Xiaoqing Cheng, Honghui Dong, Yong Qin, Bin Zhang. Snow fluff detection and removal from video images, IECON 2017- 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017.

Yu Li, Robby T. Tan, Xiaojie Guo, Jiangbo Lu, Michael S. Brown. Single Image Rain Streak Decomposition Using Layer priors, IEEE Transactions on Image Processing, 2017.

Huiying, Dong, and Zhao Xuejing. Detection and removal of rain and snow from videos based on frame difference method, The 27th Chinese Control and Decision Conference (2015 CCDC), 2015.

T. Dharani, I. Laurence Aroquiaraj, V. Mageshwari, : Diverse image investigation using image metrics for content based image retrieval system, 2016 International Conference on Inventive Computation Technologies (ICICT), 2016.

Beknazarova S.S., Bekmirzayeva M.Sh. Алгоритм улучшения изображения в системах видеоизображений на основе искусственного интеллекта.(481-489) RESEARCH AND EDUCATION ISSN: 2181-3191 VOLUME 2 | ISSUE 4 | 2023 Scientific Journal Impact Factor 2023: 5.789 http://sjifactor.com/passport.php?id=22258

B. N. Manu. Rain removal from still images using L0 gradient minimization technique, 7th International Conference on Information Technology and Electrical Engineering (ICITEE), 2015.

Загрузки

Опубликован

2024-03-02

Как цитировать

Bekmirzayeva , M. (2024). VIZUALLASHTIRISH TIZIMLARIDA YOMG‘IR VA QOR MUAMMOLARINI TASVIRGA DASTLABGI ISHLOV BERISH YORDAMIDA BARTARAF ETISH. Цифровая трансформация и искусственный интеллект, 2(1), 120–124. извлечено от https://dtai.tsue.uz/index.php/dtai/article/view/v2i118