@CONFERENCE\{IMM2012-06420, author = "J. Carstensen", title = "Biscuit quality assessment by spectral imaging", year = "2012", month = "may", booktitle = "Proceedings of the Third Annual Hyperspectral Imaging Conference", volume = "", series = "", editor = "", publisher = "Istituto Nazionale di Geofisica e Vulcanologia", organization = "", address = "Roma, Italy", url = "http://www2.compute.dtu.dk/pubdb/pubs/6420-full.html", abstract = "A fast, non-destructive, versatile method for assessing biscuit quality is presented. The method integrates color (or browning) and humidity assessment with dimensional measurements. In the quality control function of biscuit production this information is important to optimize production processes and to assure quality of the final product. Spectral imaging and analysis of one biscuit is done in a few seconds. The imaging system, VideometerLab (www.videometer.com) captures 18 high resolution spectral images in the range 400-1000 nm. Acquisition is band-sequential and performed by {LED} strobing into an integrating sphere illumination geometry. The spectral image will contain a {NIST} calibrated reflectance spectrum in every pixel. Biscuit color is estimated either in {CIELAB} coordinates, or as a browning index. Both representations may be estimated in both the biscuit center region and in the edge/corner region. {CIELAB} coordinates are spectrally reconstructed from the reflectance spectra, and the baking index is constructed using a normalized canonical discriminant analysis. A biscuit humidity model has been built on regional spectral imaging features through stepwise feature selection and linear regression towards conventional weight humidity measurements. The data set includes biscuits from different lines and both hot and cooled biscuits. Within the relevant humidity range 1\%-3\% we obtain a {RMSEP} of 0.14\%. Dimensional measurements relates to the packaging of the biscuits and consist of height and lateral dimensions, e.g. length and width, and height." }