Image analysis in unmanned aerial vehicle on-board system for objects detection and recognition with the help of energy characteristics based on wavelet transform

M. P. Shleymovich; M. V. Medvedev; S. A. Lyasheva

doi:10.1117/12.2270141

6 April 2017 Image analysis in unmanned aerial vehicle on-board system for objects detection and recognition with the help of energy characteristics based on wavelet transform

M. P. Shleymovich, M. V. Medvedev, S. A. Lyasheva

Author Affiliations +

Proceedings Volume 10342, Optical Technologies for Telecommunications 2016; 1034210 (2017) https://doi.org/10.1117/12.2270141
Event: XIV International Scientific and Technical Conference on Optical Technologies in Telecommunications, 2016, Samara, Russian Federation

Abstract

In this article the problem of image analysis in unmanned aerial vehicle on-board system for objects detection and recognition with the help of energy characteristics based on wavelet transform is described. The approach of salient points extraction based on wavelet transform is proposed. The salience of the points is substantiated with the energy estimates of their weights. On the basis of wavelet transform salient points extraction the method of image contour segmentation is proposed. For further image recognition the salient points descriptors constructed with the help of wavelet transform are used. The objects detection and recognition system for unmanned aerial vehicles based on proposed methods is simulated using the simulation platform.

Citation Download Citation

M. P. Shleymovich, M. V. Medvedev, and S. A. Lyasheva "Image analysis in unmanned aerial vehicle on-board system for objects detection and recognition with the help of energy characteristics based on wavelet transform", Proc. SPIE 10342, Optical Technologies for Telecommunications 2016, 1034210 (6 April 2017); https://doi.org/10.1117/12.2270141

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