Application Of Image Edge Detection In Underwater High Speed Vehicle Classification

DOI

10.2991/jimec-17.2017.80How to use a DOI?

Keywords

Edge Detection, Spectrogram of Radiated Noise, Features Extraction, Classification.

Abstract

Considering the difference between high speed underwater vehicle and non-high speed underwater vehicle in the spectrogram of radiated noise, the researches on image edge detection and features extraction has been done. The SCQS(Straight-line Characteristic Quantity of Spectrogram) is definition. A method, based on image edge detection and features extraction, is put forward to get the characteristic quantity of high speed underwater vehicle and applied to researches of classification of high speed underwater vehicle.The experimental results show that the method, which can extract the features of spectrogram well, can provide a dependable characteristic to classification and early-warning of high speed underwater vehicle.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sen Wang
AU  - Qijun Liu
AU  - Jiaxing Qiu
PY  - 2017/10
DA  - 2017/10
TI  - Application Of Image Edge Detection In Underwater High Speed Vehicle Classification
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 362
EP  - 365
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.80
DO  - 10.2991/jimec-17.2017.80
ID  - Wang2017/10
ER  -