Using of partially linear regression model with measurement error in image processing
2024
0 görüntülenme
0 i̇ndirme
Danışman: Doç. Dr. Seçil Yalaz
Özet (EN)
Partial linear models are used in various applications, including image processing. When there is bias caused by measurement error in the model, it is necessary to correct this bias to properly process the image. This study investigates the use of partial linear models for image processing and demonstrates the effects of measurement error on the image, providing the necessary statistical analyses to correct these effects.
Yazar
Dr. Merve Bingöl Sukutli
Bu Yayına Nasıl Atıf Yapılır
Merve Bingöl Sukutli (Master Thesis). Using of partially linear regression model with measurement error in image processing, 2024, Dicle University.
Anahtar Kelimeler
Lisans
Tüm Hakları Saklıdır
Bu eser belirtilen lisans koşulları altında paylaşılmaktadır.
Dicle University tezlerinden daha fazlası
- Resilience based design of rc buildings using seismic fragility analyses and a novel wall model(2023)
- The role of financial architecture and institutional structure in growth and development: The example Diyarbakır(2023)
- Determination of neuromarkers associated with dementia using EEG and machine learning(2023)
- Forensic medical examination of earthquake victims admitted to Dicle universi̇tesi Medical Faculty Hospitals as a result of the 6 february 2023 Kahramanmaraş centered earthquakes(2024)
- STEAM in geography education and sample applications(2024)
- Determination of forage quality characteristics of some trigonella genotypes growing in meadow-pasture and natural vegetation of southeastern anatolia region(2024)