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TASVIRLARNI SEGMENTLASH ALGORITMLARINI ISHLAB CHIQISH VA DASTURIY TA'MINOTINI YARATISH

descriptionPublicationkeyboard_double_arrow_right Article 19 Apr 2022 Uzbek Publisher:Zenodo
Authors: To'xtayeva Marg'uba Sho'xrat qizi;

doi: 10.5281/zenodo.6469856 , 10.5281/zenodo.6469814 , 10.5281/zenodo.6469815

TASVIRLARNI SEGMENTLASH ALGORITMLARINI ISHLAB CHIQISH VA DASTURIY TA'MINOTINI YARATISH

Abstract

Tasvirni segmentatsiyalash - bu tasvirni qayta ishlashga asoslangan algoritmlar va o'rganishga asoslangan usullarni o'z ichiga olgan katta miqdordagi tadqiqotlar bilan ta'minlangan Kompyuter Visionning asosiy sohasi. Ushbu maqolada biz tasvirni segmentatsiyalash va uning barcha asosiy jihatlarini, shu jumladan siz foydalanishingiz mumkin bo'lgan turli xil tasvirlarni segmentatsiyalash usullarini muhokama qilamiz. Biroq, bu juda uzoq vaqt o’rganiladi, shuning uchun keyinroq unga qaytishingiz uchun ushbu maqolaga xatcho'p qo'yishni tavsiya qilamiz.

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Keywords

tasvirni segmentlash, algoritm, kompyuter vision, dasturiy ta'minot, yuzni tanish, mashinani o'rganish.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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