For example, in plant science, imaging in different wavelength regions can be used to study important processes such as photosynthesis, pigment induction, leaf temperature regulation and transpiration. In the food sciences, image analysis is a very important part of process optimalization and in industrial production plants. In agriculture,image analysis is combined with Near Infrared Spectroscopy (NIRS) to monitor and estimate production in the field.
Extracting relevant and quantitative information from the many images generated during an experiment requires application of suitable image processing and analysis techniques. We use many different techniques such as textural image analysis, multivariate image analysis (MIA) and particle image velocimetry (PIV). We also develop methods and algorithms for texture analysis.