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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 ISSN 0364-9059.
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Official URL: http://dx.doi.org/10.1109/JOE.2011.2107250
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 | ||||
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Subjects: | Q Science > QE Geology T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > 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: |
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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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