Szczegóły publikacji
Opis bibliograficzny
Discrimination of wheat grain varieties using X-ray images / Małgorzata Charytanowicz, Jerzy Niewczas, Piotr KULCZYCKI, Piotr A. KOWALSKI, Szymon ŁUKASIK // W: Information Technologies in Medicine : 5th international conference, ITIB 2016 : Kamień Śląski, Poland, June 20–22, 2016 : proceedings, Vol. 1 / eds. Ewa Piętka, [et al.]. — Switzerland : Springer International Publishing, cop. 2016. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 471). — ISBN: 978-3-319-39795-5; e-ISBN: 978-3-319-39796-2. — S. 39–50. — Bibliogr. s. 49–50, Abstr. — P. Kulczycki, P. A. Kowalski, Sz. Łukasik – dod. afiliacja: Polish Academy of Sciences
Autorzy (5)
- Charytanowicz Małgorzata
- Niewczas Jerzy
- AGHKulczycki Piotr
- AGHKowalski Piotr Andrzej
- AGHŁukasik Szymon
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 103232 |
|---|---|
| Data dodania do BaDAP | 2017-01-24 |
| DOI | 10.1007/978-3-319-39796-2_4 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 5th International Conference on Information Technologies in Biomedicine |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
A study was conducted so as to develop a methodology for wheat variety discrimination and identification by way of image analysis techniques. The main purpose of this work was to determine a crucial set of parameters with respect to wheat grain morphology which best differentiate wheat varieties. To achieve better performance, the study was done by means of multivariate discriminant analysis. This utilized both forward and backward stepwise procedures based on various sets of geometric features. These parameters were extracted from the digitized X-ray images of wheat kernels obtained for three wheat varieties: Canadian, Kama, and Rosa. In our study, we revealed that selected combinations of geometric features permitted discriminant analysis to achieve a recognition rate of 89-96%. We then compared the correctness of classification with results obtained by way of employing the nonparametric approach. The discriminant analysis proved effective in differentiating wheat varieties.
