Using of partially linear regression model with measurement error in image processing
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Abstract (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.
Author
Merve Bingöl Sukutli
How to Cite
Merve Bingöl Sukutli (Master Thesis). Using of partially linear regression model with measurement error in image processing, 2024, Dicle University.
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