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

被引：1
|
作者：
Shleymovich, M. P. [1 ]
Medvedev, M. V. [1 ]
Lyasheva, S. A. [1 ]
机构：
[1] Kazan Natl Res Tech Univ, Kazan, Russia
来源：
OPTICAL TECHNOLOGIES FOR TELECOMMUNICATIONS 2016 | 2017年 / 10342卷
关键词：
image processing; wavelet transform; salient points; object detection; object recognition; unmanned aerial vehicle; image segmentation;
D O I：
10.1117/12.2270141
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：11
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