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Comparison of Methods for Horizon Line Detection in Sea Images

Authors:
Tzvika Libe
Evgeny Gershikov
Samuel Kosolapov

Keywords: horizon detection; marine images; edge detection; median filtering; image analysis

Abstract:
Four algorithms designed to find a horizontal line separating sea from sky in real-life conditions were implemented and compared by their accuracy and relative speed. The algorithms selected were H-COV-LUM, based on regional covariances in luminance images, H-HC, based on edge detection and the Hough transform, H-LSC, based on maximal edge detection and the least squares method and H-MED, based on median filtering and linear regression. Real-life images were used for comparison. The most accurate line with respect to angular error was obtained by using the H-HC algorithm and with respect to the error in the position of the line by H-COV-LUM, whereas the highest speed was achieved by using the H-LSC method.

Pages: 79 to 85

Copyright: Copyright (c) IARIA, 2012

Publication date: July 22, 2012

Published in: conference

ISSN: 2308-4162

ISBN: 978-1-61208-220-2

Location: Nice, France

Dates: from July 22, 2012 to July 27, 2012