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http://dx.doi.org/10.5573/ieek.2013.50.2.193

Underwater Acoustic Image Classification of a Cylindrical object using the Hough Transformation and Nth Degree Polynomial Interpolation  

Jeong, Euicheol (Department of Information & Telecommunication Engineering, Soongsil University)
Shim, Taebo (Department of Information & Telecommunication Engineering, Soongsil University)
Kim, Jangeun (Department of Information & Telecommunication Engineering, Soongsil University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.2, 2013 , pp. 193-200 More about this Journal
Abstract
In this paper, underwater acoustic image classification of a cylindrical object using the Hough transformation is proposed. Hough transformation is often used to classify a cylindrical object in the optical systems. However, it is difficult to apply to the underwater acoustic image system because of lower resolution and noisier underwater environments. Thus, the cylindrical object was modeled and its geometric depth(GD) pixels were restored in order to make them suitable for the Hough transformation by using moving average filter and a polynomial interpolation method. As a result, restored GD pixels are similar to original ones and test results show high performance in classification.
Keywords
Hough transformation; Polynomial interpolation; Underwater acoustic image; Side Scan Sonar;
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