6 July 2015 The recognition of potato varieties using of neural image analysis method
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Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 963116 (2015) https://doi.org/10.1117/12.2197033
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States
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.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
K. Przybył, K. Przybył, K. Górna, K. Górna, D. Wojcieszak, D. Wojcieszak, W. Czekała, W. Czekała, A. Ludwiczak, A. Ludwiczak, A. Przybylak, A. Przybylak, P. Boniecki, P. Boniecki, K. Koszela, K. Koszela, M. Zaborowicz, M. Zaborowicz, D. Janczak, D. Janczak, A. Lewicki, A. Lewicki, } "The recognition of potato varieties using of neural image analysis method", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 963116 (6 July 2015); doi: 10.1117/12.2197033; https://doi.org/10.1117/12.2197033
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