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Proceedings Paper

The recognition of potato varieties using of neural image analysis method
Author(s): K. Przybył; K. Górna; D. Wojcieszak; W. Czekała; A. Ludwiczak; A. Przybylak; P. Boniecki; K. Koszela; M. Zaborowicz; D. Janczak; A. Lewicki
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Paper Abstract

The aim of this paper was to extract the representative features and generate an appropriate neural model for classification of varieties of edible potato. Potatoes of variety the Vineta and the Denar were the empirical object of this thesis. The main concept of the project was to develop and prepare an image database using the computer image analysis software. The choice of appropriate neural model the one which will have the greatest abilities to identify the selected variety. The aim of this project is ultimately to conduct assistance and accelerate work of the expert, who classifies and keeps different varieties of potatoes in heaps.

Paper Details

Date Published: 6 July 2015
PDF: 6 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963116 (6 July 2015); doi: 10.1117/12.2197033
Show Author Affiliations
K. Przybył, Poznan Univ. of Life Sciences (Poland)
K. Górna, Poznan Univ. of Life Sciences (Poland)
D. Wojcieszak, Poznan Univ. of Life Sciences (Poland)
W. Czekała, Poznan Univ. of Life Sciences (Poland)
A. Ludwiczak, Poznan Univ. of Life Sciences (Poland)
A. Przybylak, Poznan Univ. of Life Sciences (Poland)
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
K. Koszela, Poznan Univ. of Life Sciences (Poland)
M. Zaborowicz, Poznan Univ. of Life Sciences (Poland)
D. Janczak, Poznan Univ. of Life Sciences (Poland)
A. Lewicki, Poznan Univ. of Life Sciences (Poland)


Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

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