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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Non–destructive Detection of Hollow Heart in Potatoes Using Hyperspectral Imaging
verfasst von : Angel Dacal-Nieto, Arno Formella, Pilar Carrión, Esteban Vazquez-Fernandez, Manuel Fernández-Delgado
Erschienen in: Computer Analysis of Images and Patterns
Verlag: Springer Berlin Heidelberg
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We present a new method to detect the presence of the
hollow heart
, an internal disorder of the potato tubers, using hyperspectral imaging technology in the infrared region. A set of 468 hyperspectral cubes of images has been acquired from Agria variety potatoes, that have been cut later to check the presence of a hollow heart. We developed several experiments to recognize hollow heart potatoes using different Artificial Intelligence and Image Processing techniques. The results show that Support Vector Machines (SVM) achieve an accuracy of 89.1% of correct classification. This is an automatic and non-destructive approach, and it could be integrated into other machine vision developments.