EngD in Image-Based Crack Detection in Paintings

Introduction

Are you eager to work on a challenging image analysis problem with direct societal impact? Together with ASML, the Van Gogh Museum and TU/e, you will develop crack detection methods for paintings and build software that supports conservators in their daily work.

Job Description

Cultural heritage is an integral part of our built environment: paintings, monuments, and historic interiors are human-made assets that degrade under environmental loads such as humidity, temperature, and mechanical stress. High-resolution scanners can now capture the colour and surface topography of a painting down to the microscale, but the resulting datasets are large, heterogeneous, and complex. Crack assessment therefore still relies on manual visual inspection, which is time-consuming, subjective, and difficult to reproduce over time.

As our EngD trainee, you will design and validate a semi-automatic crack detection and classification fram...