Imaging sensors are gaining increasing significance in medicine and biometrics. This development requires new methods of computer-based processing and archiving, which provides valuable support in diagnosis and documentation.

The research area “human-centred image analysis” responds to this development by providing cutting-edge measurement technology and analysing information from imaging sensors in medical technology. It includes in particular measurement and classification tasks for documentation and diagnosis support, object registration and the measurement of biometric properties.

Our team has many years of experience in medical image processing in the fields of wound healing simulation, registration of deformable bodies, melanoma registration and classification, tooth colour classification, registration and feature extraction for scanning laser ophthalmoscopy (SLO), texture analysis for posterior capsule opacification (PCO) and digital mammography. The algorithms and the handling and visualisation of volumetric data (DICOM) provide synergies with other research areas, such as 3D weather radar or computer tomography for steel and wood applications.

Our expertise in this area is reflected in our active participation in the EU Network of Excellence BioSecure and our membership in the BioSecure Association.