Vol. 28 No. 1/4 (2019)

DOI: https://doi.org/10.22630/MGV.2019.28.1

Published: 2019-12-01

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Original research papers

Data augmentation techniques for transfer learning improvement in drill wear classification using convolutional neural network

Jarosław Kurek, Joanna Aleksiejuk-Gawron, Izabella Antoniuk, Jarosław Górski, Albina Jegorowa, Michał Kruk, Arkadiusz Orłowski, Jakub Pach, Bartosz Świderski, Grzegorz Wieczorek

3-12

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Classifiers ensemble of transfer learning for improved drill wear classification using convolutional neural network

Jarosław Kurek, Joanna Aleksiejuk-Gawron, Izabella Antoniuk, Jarosław Górski, Albina Jegorowa, Michał Kruk, Arkadiusz Orłowski, Jakub Pach, Bartosz Świderski, Grzegorz Wieczorek

13-23

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BCT Boost Segmentation with U-net in TensorFlow

Grzegorz Wieczorek, Izabella Antoniuk, Michał Kruk, Jarosław Kurek, Arkadiusz Orłowski, Jakub Pach, Bartosz Świderski

25-34

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Textural features based on run length encoding in the classification of furniture surfaces with the orange skin defect

Jakub Pach, Izabella Antoniuk, Leszek Chmielewski, Jarosław Górski, Michał Kruk, Jarosław Kurek, Arkadiusz Orłowski, Katarzyna Śmietańska, Bartosz Świderski, Grzegorz Wieczorek

35-45

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Context-based segmentation of the longissimus muscle in beef with a deep neural network

Karol Talacha, Izabella Antoniuk, Leszek Chmielewski, Michał Kruk, Jarosław Kurek, Arkadiusz Orłowski, Jakub Pach, Andrzej Półtorak, Bartosz Świderski, Grzegorz Wieczorek

47-57

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Constraint-based algorithm to estimate the line of a milling edge

Marcin Bator, Katarzyna Śmietańska

59-67

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State-of-the-art surveys

Image annotating tools for agricultural purpose - A requirements study

Marcin Bator, Maciej Pankiewicz

69-77

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