A novel method for sidescan sonar image segmentation
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. ISSN 0364-9059Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/JOE.2011.2107250
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|
|Number of Pages:||9|
|Page Range:||pp. 186-194|
|Access rights to Published version:||Restricted or Subscription Access|
|Funder:||University of Warwick Vice Chancellor Scholarship|
Actions (login required)