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Proceedings Paper

Software supporting definition and extraction of the quality parameters of potatoes by using image analysis
Author(s): K. Przybył; A. Ryniecki; G. Niedbała; W. Mueller; P. Boniecki; M. Zaborowicz; K. Koszela; S. Kujawa; R. J. Kozłowski
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Paper Abstract

The aim of this paper was to design and implement an information technology (IT) system supporting the analysis and interpretation of image descriptors. The software is characterized by its versatility and speed in operating while processing series of digital images. The computer system can be expanded by new methods and is dedicated as a kernel of an expert system. The application seeks to extract the parameters of quality characteristics of agricultural crops - in this case, potatoes – in order to generate a set of data as a .csv file. The system helps to prepare the assessment of quality parameters of potatoes and generate mathematical models using Artificial Neural Network (ANN) simulators such as MATLAB ANN Toolbox or STATISTICA ANN toolbox in order to create a training dataset and information in that dataset.

Paper Details

Date Published: 29 August 2016
PDF: 7 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100332L (29 August 2016); doi: 10.1117/12.2244050
Show Author Affiliations
K. Przybył, Poznan Univ. of Life Sciences (Poland)
A. Ryniecki, Poznan Univ. of Life Sciences (Poland)
G. Niedbała, Poznan Univ. of Life Sciences (Poland)
W. Mueller, Poznan Univ. of Life Sciences (Poland)
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
M. Zaborowicz, Poznan Univ. of Life Sciences (Poland)
K. Koszela, Poznan Univ. of Life Sciences (Poland)
S. Kujawa, Poznan Univ. of Life Sciences (Poland)
R. J. Kozłowski, Poznan Univ. of Life Sciences (Poland)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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