Neural Network as a Tool for Detection of Wine Grapes
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F16%3A39901932" target="_blank" >RIV/00216275:25530/16:39901932 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-3-319-33625-1_21" target="_blank" >http://dx.doi.org/10.1007/978-3-319-33625-1_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-33625-1_21" target="_blank" >10.1007/978-3-319-33625-1_21</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Neural Network as a Tool for Detection of Wine Grapes
Popis výsledku v původním jazyce
The recognition of wine grapes in real-life images is a serious issue solved by researches dealing with precision viticulture. The detection of wine grapes of red varieties is a well mastered problem. On the other hand, the detection of white varieties is still a challenging task. In this contribution, detectors designed for recognition of white wine grapes in real-life images are introduced and evaluated. Two representations of object images are considered in this paper; namely, vector of normalized pixel intensities and histograms of oriented gradients. In both cases, classifiers are realized using feedforward multilayer neural networks. The detector based on the histograms of oriented gradients has proven to be very effective by cross-validation. The results obtained by its evaluation on independent testing data are slightly worse; however, still very good. On the other hand, the representation using the vector of normalized pixel intensities was stated as insufficient.
Název v anglickém jazyce
Neural Network as a Tool for Detection of Wine Grapes
Popis výsledku anglicky
The recognition of wine grapes in real-life images is a serious issue solved by researches dealing with precision viticulture. The detection of wine grapes of red varieties is a well mastered problem. On the other hand, the detection of white varieties is still a challenging task. In this contribution, detectors designed for recognition of white wine grapes in real-life images are introduced and evaluated. Two representations of object images are considered in this paper; namely, vector of normalized pixel intensities and histograms of oriented gradients. In both cases, classifiers are realized using feedforward multilayer neural networks. The detector based on the histograms of oriented gradients has proven to be very effective by cross-validation. The results obtained by its evaluation on independent testing data are slightly worse; however, still very good. On the other hand, the representation using the vector of normalized pixel intensities was stated as insufficient.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
BD - Teorie informace
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Artificial Intelligence Perspectives in Intelligent Systems : Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016). Vol 1
ISBN
978-3-319-33625-1
ISSN
2194-5357
e-ISSN
—
Počet stran výsledku
11
Strana od-do
225-235
Název nakladatele
Springer International Publishing AG
Místo vydání
Cham
Místo konání akce
Prague
Datum konání akce
27. 4. 2016
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000385237600021