Within MIND, two main research directions are conducted as follows:
Computational imaging
MINDS research activities in computational imaging are centered on medical imaging, with the main focus on ultrasound. They concern the whole image formation and interpretation process including raw data acquisition by individual sensors using conventional and non-traditional sampling schemes, beamforming, image reconstruction, processing, and analysis. The main research topics in computational ultrasound cover, but are not limited to:
- Inverse problems: signal and image restoration, resolution enhancement, beamforming, compressed sensing, tissue motion estimation, flow velocity estimation,
- Linear and non-linear ultrasound imaging,
- Various clinical applications: oncology, cardiology, gynecology.
MINDS also conducts research on other imaging modalities:
- Computed tomography applied to endodontics,
- Multi-modal (ultrasound – magnetic resonance imaging) image registration and fusion applied to gynecology.
Computer vision
Minds research activities in computer vision benefit from a broad range of expertise in camera calibration, stereo vision, and motion analysis.
The main current research topics in computer vision include:
- Still image analysis: interactive segmentation, over-segmentation, object identification,
- Temporal image series: change detection, re-identification,
- Video analysis: action recognition, scene reconstruction.
Applications concern:
- Photographic landscape observatories,
- Security: video analysis for criminal investigation, public transportation.
Minds also considers other applications like fish ecology and astronomical image processing.