Skytte, Jacob Lercke5; Nielsen, Otto Højager Attermann1; Andersen, Ulf8; Carstensen, Jens Michael1; Dahl, Anders Lindbjerg1; Larsen, Rasmus1; Møller, Flemming7; Kamran, Faisal3; Frisvad, Jeppe Revall1
1 Department of Applied Mathematics and Computer Science, Technical University of Denmark2 Image Analysis & Computer Graphics, Department of Applied Mathematics and Computer Science, Technical University of Denmark3 Department of Photonics Engineering, Technical University of Denmark4 Diode Lasers and LED Systems, Department of Photonics Engineering, Technical University of Denmark5 National Food Institute, Technical University of Denmark6 Arla Foods7 DuPont Nutrition and Health8 Arla Foods
Light scattering in turbid media can be related to the microstructure of media. Thus, light scattering can potentially be used for process control of products where the structure is a key component. However process control requires robust and sensitive input data to function properly. In this study we investigate different decomposition methods for extracting light scattering information from images of diffuse reflectance. Both well-established theoretical methods and data driven methods are considered and evaluated based on their robustness and sensitivity to changes in light scattering properties.