Tomato sorting using independent component analysis on spectral images
نویسندگان
چکیده
Independent Component Analysis is one of the most widely used methods for blind source separation. In this paper we use this technique to estimate the most important compounds which play a role in the ripening of tomatoes. Spectral images of tomatoes were analyzed. Two main independent components were found. These components resemble the actual absorption spectra of lycopene and chlorophyll. Concentration images of these compounds show increase of one compound and decrease of the other during ripening. The method can be implemented in an unsupervised real time sorting machine, using the total compound concentrations and the spatial distribution of the concentrations as criteria. r 2003 Elsevier Ltd. All rights reserved.
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عنوان ژورنال:
- Real-Time Imaging
دوره 9 شماره
صفحات -
تاریخ انتشار 2003