Szczegóły publikacji
Opis bibliograficzny
Vision-based assessment of viability of acorns using sections of their cotyledons during automated scarification procedure / Mirosław JABŁOŃSKI, Ryszard TADEUSIEWICZ, Adam PIŁAT, Józef Walczyk, Paweł Tylek, Jan Szczepaniak, Florian Adamczyk, Michał Szaroleta, Tadeusz Juliszewski, Paweł Kiełbasa // Bio-Algorithms and Med-Systems / Jagiellonian University. Medical College ; ISSN 1895-9091. — 2018 — vol. 14 iss. 1, s. 1–8. — Bibliogr. s. 8, Abstr.
Autorzy (10)
- AGHJabłoński Mirosław
- AGHTadeusiewicz Ryszard
- AGHPiłat Adam Krzysztof
- Walczyk Józef
- Tylek Paweł
- Szczepaniak Jan
- Adamczyk Florian
- Szaroleta Michał
- Juliszewski Tadeusz
- Kiełbasa Paweł
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 113802 |
|---|---|
| Data dodania do BaDAP | 2018-05-14 |
| Tekst źródłowy | URL |
| DOI | 10.1515/bams-2018-0006 |
| Rok publikacji | 2018 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Bio-Algorithms and Med-Systems |
Abstract
The goal of the research described in the article was to develop the device for the automatic scarification of acorns and computer vision-based assessment of their viability. The color image of the intersection of the tissue of cotyledons was selected as a key feature for separating healthy seeds from the spoiled ones. Because the device is being designed for the diagnosis of high volume of seeds aiming at producing high-quality seedlings, several assessment criteria of the overall design of the automaton are being assessed. The basic one is the overall accuracy of viability recognition. The other refers to particular functions implemented in the model of the device being described.