Ko‘z qorachig‘i tasvirlarini avtomatik qayta ishlash algoritmlari

Annotatsiya
Magistrlik dissertatsiya ishi “Ko‘z qorachig‘i tasvirlarini avtomatik qayta ishlash algoritmlari” mavzusini ochib berishda ko‘zning rangdor pardasi modellari o‘rganish orqali ko‘z qorachigʻi tasvirlarini avtomatik qayta ishlash algoritmlari tizimini ishlab chiqishga bag‘ishlangan. Mazkur ishda ko‘zning rangdor pardasi modellari, tasvirdagi ko‘zning rangdor pardasi maydonini tanlash xususiyatlari o‘rganilgan. Shu bilan birga amaliy foydalanish uchun aniqligi, ishonchliligi va tezligi ko‘rsatkichlari bilan ko‘z tasvirida ko‘z rangdor pardasi zonasini tanlashni ta’minlaydigan hamda, sifatni baholash va ko‘z rangdor pardasi tasvirlarini soxtalashtirishga urinishlarni aniqlash algoritmlarini ishlab chiqilgan.
Ushbu ishda taqdim etilgan natijalardan ko‘zning rangdor pardasi tasvirlarini kiritish va qayta ishlash tizimlarini yaratishda, shuningdek, dissertatsiya ma’lumotlaridan Respublikamiz oliy ta’lim muassasalarining Informatika va axborot texnologiyalar yo‘nalishi fanlarini o‘qitishda qo‘shimcha ma’lumot sifatida ham foydalanish mumkin.
Annotation
The master's dissertation work is devoted to the development of a system of algorithms for automatic processing of pupillary images through the study of models of the retina of the eye, while revealing the topic “Algorithms for automatic processing of pupillary images”. In this work are obsorved the features of the selection of models of the colored retina of the eye in the image. At the same time, for practical use, algorithms have been developed that ensure the selection of the zone of the eye-colored veil in the image of the eye with indicators of accuracy, reliability and speed, as well as attempts to assess the quality and falsify the images of the eye-colored veil.
The results presented in this work can be used as additional information in the creation of systems for the input and processing of eye-colored images, as well as in the teaching of subjects of the direction of Informatics and Information Technology of the higher educational institutions of the Republic.