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

Abstract: Weld defect detection is vital for ensuring structural integrity, but challenges like noise and low contrast in weld images often hinder accuracy. The traditional manual inspection methods ...