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N. Strokina, J. Kämäräinen, J. Tuhtan, J. Fuentes-Peres, M. Kruusmaa.
Joint estimation of bulk flow velocity and angle using a lateral line probe.
IEEE Tranascations on Instrumentation and Measurements, 2015. Accepted for publication. |
N. Muhammad, N. Strokina, G. Toming, J. Tuhtan, J. Kämäräinen, M. Kruusmaa.
Flow feature extraction for underwater robot localization: preliminary results.
In the IEEE International Conference on Robotics and Automation, ICRA2015. |
J. Tuhtan, N. Strokina, G. Toming, N. Muhammad, M. Kruusmaa, J. Kämäräinen.
Hydrodynamic classification of natural flows using an artificial lateral line and frequency features.
In the 36th Hydro-Environmaental Engineering and Research World Congress, IAHR2015. |
N. Strokina, J. Kämäräinen, M. Kruusmaa, J. Tuhtan.
FishView: environment investigation methods for an underwater robot.
Federated Computer Science Event, Lappeenranta, Finland, 2014. |
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H. Mutikainen, N. Strokina, T. Eerola, L. Lensu, H. Kälviäinen, and J. Käyhkö
Online measurement of the bubble size distribution in medium-consistency oxygen delignification.
Accepted for publication in Appita Journal. 2015. |
M. Sorokin, N. Strokina, T. Eerola, L. Lensu, and H. Kälviäinen,
Image-based characterization of the pulp flows.
In the 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW 2014), 2014. |
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N. Strokina, R. Juranek, T. Eerola, L. Lensu, P. Zemcik, H. Kälviäinen.
Comparison of Appearance-based and Geometry-based Bubble Detectors.
The International Conference on Computer Vision and Graphics ICCVG 2014, Warsaw, Poland, 2014. |
N. Strokina.
Machine Vision Methods for Pulp Process Measurements.
Doctoral thesis. Lappeenranta University of Technology. November 15, 2013. |
N. Strokina, A. Mankki, T. Eerola, L. Lensu, J. Käyhkö, H. Kälviäinen.
Framework for developing image-based dirt particle classifiers for dry pulp sheets.
Machine Vision and Applications Journal, 24(4): pp 869-881, 2013. |
N. Strokina, T. Kurakina, T. Eerola, L. Lensu, H. Kälviäinen.
Detection of Curvilinear Structures by Tensor Voting Applied to Fiber Characterization.
Scandinavian Conference on Image Analysis SCIA 2013.
Lecture Notes in Computer Science, 7944: pp 22-33, 2013.
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N. Strokina, J. Matas, T. Eerola, L. Lensu, H. Kälviäinen.
Detection of Bubbles as Concentric Circular Arrangements.
In the Proceedings of the 21st International Conference on Pattern Recognition ICPR 2012, pp 2655 - 2659.
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N. Strokina, A. Mankki, T. Eerola, L. Lensu, J. Käyhkö, H. Kälviäinen.
Semisynthetic ground truth for dirt particle counting and classification methods.
IAPR Conference on Machine Vision Applications MVA 2011.
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N. Strokina, T. Eerola, L. Lensu, H. Kälviäinen.
Adaptive classification of dirt particles in papermaking process.
Scandinavian Conference on Image Analysis SCIA 2011.
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L. Laaksonen, N. Strokina, T. Eerola, L. Lensu, H. Kälviäinen.
Improving particle segmentation from process images with Wiener filtering.
Scandinavian Conference on Image Analysis SCIA 2011.
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N. Strokina.
Learning Robot Motions from Visual Sensing.
Master's thesis. Lappeenranta University of Technology. May30, 2010.
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