29 August 2016 Software supporting definition and extraction of the quality parameters of potatoes by using image analysis
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100332L (2016) https://doi.org/10.1117/12.2244050
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
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.
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K. Przybył, A. Ryniecki, G. Niedbała, W. Mueller, P. Boniecki, M. Zaborowicz, K. Koszela, S. Kujawa, R. J. Kozłowski, "Software supporting definition and extraction of the quality parameters of potatoes by using image analysis", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100332L (29 August 2016); doi: 10.1117/12.2244050; https://doi.org/10.1117/12.2244050
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