Multispectral Fluorescence Imaging for the Identification of Food Products

A multispectral fluorescence imaging system was tested to identify four food products (maize, pea, soya bean and wheat). The system made it possible to record 12 images for each sample by a combination of various excitation and emission filters. Direct observation of images showed that the fluorescence of the four food products made identification possible, although more than one image was necessary to obtain satisfactory discrimination. The images were linearly combined and the most relevant images for identification were determined using a stepwise discriminant analysis and a mapping of the four food products was obtained. In the segmented images, the percentage of well-classified pixels was up to 98·8% for the four products.