Target Detection in Sonar Images using morphological operations and Empirical Mode Decomposition

نویسندگان

  • Apostolos P. Leros
  • Antonios S. Andreatos
چکیده

Empirical Mode Decomposition (EMD) is a signal decomposition technique particularly suitable for non-stationary and non-linear signals. In this paper, two target detection methods with improved accuracy in side scan sonar images are proposed. In the first method, target detection is based on morphological operations; the second method combines Empirical Mode Decomposition (EMD) with morphological operations. Both methods are enhanced with edge detection filtering. Experimental results indicate that the proposed methods are very effective, but their efficiency depends on the input image. Hence, they should be used in combination. 1 Department of Automation, School of Technological Applications, Technological Educational Institute of Sterea Hellas, 34400 Psachna, Evia, Greece. E-mail: [email protected] 2 Div. of Computer Engineering \& Information Science, Hellenic Air Force Academy, Dekeleia Air Force Base, Dekeleia, Attica, TGA-1010, Greece. E-mails: [email protected], [email protected] Article Info: Received : October 12, 2015. Revised : December 18, 2015. Published online : December 20, 2016. 2 Target Detection in Sonar Images using morphological operations... Mathematics Subject Classification: 94A08

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تاریخ انتشار 2016