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Methodology of data processing in the process of neural image analysis of pork half carcasses
Author(s): M. Zaborowicz; A. Fojud; P. Boniecki; K. Przybył; L. Gierz; K. Koszela; P. Ślósarz; D. Lisiak; J. Przybył
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Paper Abstract

This article describes data processing in neural analysis of the images of pork half carcass. Parameters of pork halfcarcass obtained from three-dimensional analysis, was processed into form of 130 files. These files has been used as learning sets for the artificial neural network simulator - STATISTICA. Next, we obtained the set of neural models from which the best was chosen. For all data processing activities in this research process were used applications developed in C # in the Visual Studio 2015 development environment.

Paper Details

Date Published: 9 August 2018
PDF: 7 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064F (9 August 2018); doi: 10.1117/12.2503017
Show Author Affiliations
M. Zaborowicz, Poznan Univ. of Life Sciences (Poland)
A. Fojud, Poznan Univ. of Life Sciences (Poland)
P. Boniecki, Poznan Univ. of Life Sciences (Poland)
K. Przybył, Poznan Univ. of Life Sciences (Poland)
L. Gierz, Poznan Univ. of Technology (Poland)
K. Koszela, Poznan Univ. of Life Sciences (Poland)
P. Ślósarz, Poznan Univ. of Life Sciences (Poland)
D. Lisiak, Institute of Agricultural and Food Biotechnology (Poland)
J. Przybył, Poznan Univ. of Life Sciences (Poland)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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