Sensor Technology and Image Analysis, 7.5 credits

The course consists of three main parts, sensors, image analysis, and image pattern recognition. Within sensors, various concepts within optical sensors are treated, as well as the functionality and properties of a number of common sensors within automation, monitoring, and control. Examples of sensors that are treated are cameras, laser distance sensors, spectrometers, and temperature sensors for non-contact measurement. In image analysis, the basic properties of digital images are first addressed. After this, the focus is on finding features in images using, for example, image segmentation. In addition to this, camera calibration is also covered. In image pattern recognition, methods based on prototype matching, optimal statistical formulation, and neural networks are treated.