Naval ship recognition
Object recognition is a very interesting task with multiple applications and for that reason it has been dealt with very intensively in the last years. In particular, the application to naval ship pictures may facilitate the work of the coastguards or the navy. However, this type of images entails s...
Main Authors: | , |
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Format: | Article |
Language: | deu |
Published: |
Copernicus Publications
2012-09-01
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Series: | Advances in Radio Science |
Online Access: | http://www.adv-radio-sci.net/10/141/2012/ars-10-141-2012.pdf |
Summary: | Object recognition is a very interesting task with multiple applications and
for that reason it has been dealt with very intensively in the last years. In
particular, the application to naval ship pictures may facilitate the work of
the coastguards or the navy. However, this type of images entails some
difficulties due to their specific environment. Water reflects the light and
as a consequence, some areas may presumably show different brightness and
color. Waves from wind or moving ships pose a problem due to the additional
edges that they produce. The camouflage of ships in the military context is
also an issue to take into account. Therefore, it is difficult to propose a
simple method that is valid for every image.
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A discussion about which techniques may solve these problems is presented and
finally a combined solution based on contour recognition is suggested. Test
images are preprocessed by histogram stretching. Then, the Canny method is
applied to the image and to the reference contour in order to obtain not only
their edges, but also their respective orientations. The problem of
recognizing the reference contour within the detected edges is addressed by
making use of the Generalized Hough Transform (GHT). |
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ISSN: | 1684-9965 1684-9973 |