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A novel method for sidescan sonar image segmentation

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Çelik, Turgay and Tjahjadi, Tardi (2011) A novel method for sidescan sonar image segmentation. IEEE Journal of Oceanic Engineering, Vol.36 (No.22). pp. 186-194. doi:10.1109/JOE.2011.2107250

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Official URL: http://dx.doi.org/10.1109/JOE.2011.2107250

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Abstract

In this paper, we propose a novel unsupervised algorithm for segmenting sidescan sonar images of seafloor. The proposed algorithm does not make any a priori assumption on the nature of the input sidescan sonar image. The algorithm first constructs a multiresolution representation of the input image using the forward and inverse undecimated discrete wavelet transform (UDWT). A feature vector is then extracted for each pixel using both intra-resolution and inter-resolution data. The dimensionality of each feature vector is reduced using principal component analysis (PCA). The feature vectors are then clustered into disjoint clusters using k-means clustering. The number of clusters is estimated automatically. Experimental results on real sonar images confirm the effectiveness of the proposed algorithm.

Item Type: Journal Article
Subjects: Q Science > QE Geology
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Sidescan sonar, Principal components analysis, Ocean bottom, Image processing
Journal or Publication Title: IEEE Journal of Oceanic Engineering
Publisher: IEEE Oceanic Engineering Society
ISSN: 0364-9059
Official Date: April 2011
Dates:
DateEvent
April 2011Published
Volume: Vol.36
Number: No.22
Number of Pages: 9
Page Range: pp. 186-194
DOI: 10.1109/JOE.2011.2107250
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: University of Warwick Vice Chancellor Scholarship

Data sourced from Thomson Reuters' Web of Knowledge

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