Рақамли технологияларнинг назарий ва амалий масалалари Volume 7 Issue 3 (2024) · pp. 53-60

Detection, quantification and analysis of green leaf stain using image processing techniques

Саъдуллаева, Шахло, Райимкулов, Урал

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Abstract

This article uses two image processing methods, k-means and Threshold. For the experiment, detection, quantification and analysis of green leaf spots collected mainly from online sources were considered. The purpose of writing the article is that in the future, it is planned to carry out several studies on images obtained by medical devices using the above-mentioned methods.

обработка изображенийk-meansболезнь растенийпорогпятнистость листьевзеленый листimage processingk-meansplant diseasethreshold

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Cite

APA 7 
Саъдуллаева, Шахло & Райимкулов, Урал (2024). Detection, quantification and analysis of green leaf stain using image processing techniques. Рақамли технологияларнинг назарий ва амалий масалалари, 7(3), 53-60.
GOST R 7.0.5 
Саъдуллаева, Шахло, Райимкулов, Урал Detection, quantification and analysis of green leaf stain using image processing techniques // Рақамли технологияларнинг назарий ва амалий масалалари. 2024. Т. 7. № 3. С. 53-60.
BibTeX 
@article{шахло2024,
  author  = {Саъдуллаева, Шахло and Райимкулов, Урал},
  title   = {Detection, quantification and analysis of green leaf stain using image processing techniques},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year    = {2024},
  volume  = {7},
  number  = {3},
  pages   = {53-60}
}
RIS 
TY  - JOUR
AU  - Саъдуллаева, Шахло
AU  - Райимкулов, Урал
TI  - Detection, quantification and analysis of green leaf stain using image processing techniques
JO  - Рақамли технологияларнинг назарий ва амалий масалалари
PY  - 2024
VL  - 7
IS  - 3
SP  - 53
EP  - 60
ER  -