Jaroslaw Goclawski

Orcid: 0000-0003-2776-904X

According to our database1, Jaroslaw Goclawski authored at least 14 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
The verification of hen egg types by the classification of ultra-weak photon emission data.
Expert Syst. Appl., March, 2024

2020
A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography.
Sensors, 2020

Surface Morphology Analysis of Metallic Structures Formed on Flexible Textile Composite Substrates.
Sensors, 2020

Changes in Fabric Surface Pilling under Laser Ablation.
Sensors, 2020

2017
The use of optical coherence tomography for the evaluation of textural changes of grapes exposed to pulsed electric field.
Comput. Electron. Agric., 2017

2016
An application of the supervoxel-based Fuzzy C-Means with a GPU support to segmentation of volumetric brain images.
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015
The Segmentation of 3D Images Using the Random Walking Technique on a Randomly Created Image Adjacency Graph.
IEEE Trans. Image Process., 2015

Assessment of the Brain Coverage Ratio in the Postoperative Craniosynostosis Based on 3D CT Scans.
Proceedings of the Image Processing and Communications Challenges 7, 2015

3D segmentation of the cerebrospinal fluid from CT brain scans using local histogram similarity map.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015

2014
New accelerated graph-based method of image segmentation applying minimum spanning tree.
IET Image Process., 2014

Accelerating the 3D Random Walker Image Segmentation Algorithm by Image Graph Reduction and GPU Computing.
Proceedings of the Image Processing and Communications Challenges 6, 2014

Automatic Assessment of Skull Circumference in Craniosynostosis.
Proceedings of the Computer Vision and Graphics - International Conference, 2014

2012
Neural network segmentation of images from stained cucurbits leaves with colour symptoms of biotic and abiotic stresses.
Int. J. Appl. Math. Comput. Sci., 2012

2009
An automatic segmentation method for scanned images of wheat root systems with dark discolourations.
Int. J. Appl. Math. Comput. Sci., 2009


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