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In this paper the results of automated, vision based classification of oak seeds viability i.e. their ability to germinate are presented. In the first stage, using a photo of the seed cross-section, a set of feature vectors were determined. Then three classification methods were examined: k-nearest neighbours (k-NNs), artificial neural networks (ANNs) and support vector machines (SVMs). Finally, a...
The article proposes an algorithm for detection of orientation of acorns during scarification process. This task is necessary for proper cut off of a part of acorn. Described algorithm uses Harris corner detector for location of acorn's remain of style. The performed tests have shown that proposed method is characterized by a sufficient sensitivity value as a unit of efficiency. Its specificity and...
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