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Proceedings Paper

Recognition of color changes in strawberry juice powders using self-organizing feature map
Author(s): K. Przybył; J. Gawałek; L. Gierz; M. Łukomski; M. Zaborowicz; P. Boniecki
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Paper Abstract

Self-Organizing Feature Map (SOFM), has been used for the qualitative identification of strawberry juice powders. The research was based on image recognition using powders obtained through an industrial spray-drying process. Results demonstrated that the color features were able to effectively distinguish the research material consisting of spray-dried powders of strawberry juice. The adequate model in terms of the lowest error value RMS (Root Mean Square) contained 46 neurons in the input layer and neurons in the output layer. The model is an effective tool for classifying wrong color changes in strawberry powders.

Paper Details

Date Published: 9 August 2018
PDF: 9 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080621 (9 August 2018); doi: 10.1117/12.2503101
Show Author Affiliations
K. Przybył, Poznan Univ. of Life Sciences (Poland)
J. Gawałek, Poznan Univ. of Life Sciences (Poland)
L. Gierz, Poznan Univ. of Technology (Poland)
M. Łukomski, Poznan Univ. of Life Sciences (Poland)
M. Zaborowicz, Poznan Univ. of Life Sciences (Poland)
P. Boniecki, 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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