2D/3D image processing
- Embedded image acquisition systems with image preprocessing (FPGA platform for image processing)
- Special camera systems for 2D/3D image processing tasks (sensor heads)
- Optical 3D sensors (stereo and pattern projection methods)
- Methods and system techniques for highly dynamic 2D and 3D coordinate measurement
- Robot-guided machine and process integrated 2D/3D image processing systems
- Image processing interfaces for real-time peripheral communication
- Investigation and development of precision measuring methods for tactile and non-contact three-coordinate measurement / multidimensional edge detection
- Evaluation of image sensors/camera systems under the aspects of EMVA1288
- Special illumination systems and special electronics for multi-channel image acquisition (2D-/3D- and multispectral)
JENOPTIK
TU Ilmenau
Multimodal and multispectral image processing
- Multispectral 2D/3D image acquisition systems (VIS, NIR)
- Multimodal 2D/3D image data acquisition and image data processing (VIS, NIR, FIR)
- Spectral multi-channel image acquisition
- Spectral image processing
- Optical microsystems technology for hyperspectral sensor technology
- Miniaturized spectral sensor technology
- Application in medical fields (determination of vital parameters, early detection of cancer)
- Human-machine interaction, object recognition, sorting
Object recognition / machine learning
- Methods of object/pattern recognition and machine learning in 2D/3D/color, multi-channel and spectral images
- Image analysis and parallel multi-channel sorting of natural products (grain, seeds, rock, etc.)
- Methods for automating visual inspection and technical recognition (defect detection on technical surfaces, detection of material defects, detection of shape, color and texture deviations, etc.)
- Methods for assessing the complexity of given recognition tasks and suitable features for class separation
- Fusion of image-analytical and spectral-analytical features for automated object recognition
- Methods for optimal application-specific classifier selection
- Optimization methods for automatic classifier parameter selection
TU Ilmenau / QBV