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Title
The Hough transform in the classification process of inland ships

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Bobkowska, Katarzyna1; Wawrzyniak, Natalia2
URI: https://repository.am.szczecin.pl/handle/123456789/2538
2019-07-01
This article presents an analysis of the possibilities of using image processing methods for feature extraction that allows kNN classification based on a ship’s image delivered from an on-water video surveillance system. The subject of the analysis is the Hough transform which enables the detection of straight lines in an image. The recognized straight lines and the information about them serve as features in the classification process. Above all, this approach allows ships to be recognized, which can then be characterized by a specific representation and shape. Recreational units that are often seen on inland waters were classified correctly using this method. Each analyzed camera image was previously prepared – brought to the form where the ship was visible from the side and the background removed (they were monochromatic – white). The results obtained in this work will allow for the development of the final ship classification method based on camera images. This method is a significant part of the emerging system prototype, which is implemented as part of the Automatic Ship Recognition and Identification (SHREC) project.
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Title

The Hough transform in the classification process of inland ships

Pages

9-15

Figures

6

Tables

3

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

10.17402/331

Type

Journal

58 Scientific Journals of the Maritime University of Szczecin, no. 58 / 2019

Publisher

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Copyright Holder

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Published

2019-07-01

Recieved

2019-04-30

Accepted

2019-05-31

Funding

No data

Keywords

classification, Hough transform, k Nearest Neighbors (kNN), image processing, ship recognition, line detection

URI:

https://repository.am.szczecin.pl/handle/123456789/2538

Language

English

Authors

Bobkowska, Katarzyna1; Wawrzyniak, Natalia2

Affiliation

1 Gdańsk University of Technology, Faculty of Civil and Environmental Engineering 11/12 Gabriela Narutowicza St., 80-233 Gdańsk, Poland, katarzyna.bobkowska@pg.edu.pl
2 Marine Technology Sp. z o.o. 4/6 Roszczynialskiego St., 81-521 Gdynia, Poland, nbd.wydzial@am.szczecin.pl

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