This project explores image data and applies deep learning techniques for image classification as part of my MSc training in Biomedical Engineering. The objective is to gain hands-on experience in ...

This project implements an adaptive preprocessing pipeline for grayscale medical images. It is designed as a reusable conditioning step prior to classical machine learning or deep learning models in ...

Abstract: This study focuses on enhancing the quality of automated defect detection in wind turbine components by introducing a specialised image preprocessing stage within a computer vision pipeline ...

Abstract: Fog significantly degrades image quality by reducing contrast, detail, and color fidelity. This degradation negatively impacts computer vision tasks. This work presents a comparative ...