Algorithm of morphological correlation-extreme navigation system

Authors

  • M. P. Mukhina National Aviation University
  • A. O. Kuzmemko National Aviation University

DOI:

https://doi.org/10.18372/1990-5548.48.11202

Keywords:

Correlation-extreme navigation system, morphological analysis, normalized crosscorrelation, feature extraction

Abstract

The paper deals with correlation-extreme navigation to define coordinates of unmanned aerialvehicles more precisely. Normalized morphologic correlation coefficient was chosen as criterionfunction. Images were processed with the help of intensity based and auto tracking methods. Thecomparison of these methods by their robustness and normalized morphological correlation coefficientassessment was done on the series of test images with different informative levels

Author Biographies

M. P. Mukhina, National Aviation University

Ph.D. Associate professor. Educational-Scientific Institute of Information Diagnostic Systems

A. O. Kuzmemko, National Aviation University

Bachelor. Educational-Scientific Institute of Information Diagnostic Systems

References

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X. Munoz, J. Freixenet, and X. Cuf, “Strategies for image segmentation combining region and boundary information”. Pattern Recognition Letters, 2003, pp. 375–392.

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A. Baumberg, “Reliable feature matching across widely separated views”. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2000, pp. 774–781.

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How to Cite

Mukhina, M. P., & Kuzmemko, A. O. (2016). Algorithm of morphological correlation-extreme navigation system. Electronics and Control Systems, 2(48), 16–21. https://doi.org/10.18372/1990-5548.48.11202

Issue

Vol. 2 No. 48 (2016)

Section

THEORY AND METHODS OF SIGNAL PROCESSING

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