Ocean Systems Engineering

  • 제2권2호
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  • Pages.137-145
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  • 2012
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  • 2093-6702(pISSN)
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  • 2093-677X(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

A method for underwater image analysis using bi-dimensional empirical mode decomposition technique

  • Liu, Bo (State Key Laboratory of Structural Analysis for Industrial Equipment, School of Naval Architecture and Ocean Engineering, Dalian University of Technology) ;
  • Lin, Yan (State Key Laboratory of Structural Analysis for Industrial Equipment, School of Naval Architecture and Ocean Engineering, Dalian University of Technology)
  • 투고 : 2011.06.30
  • 심사 : 2012.06.07
  • 발행 : 2012.06.25
⟨ 이전 논문 다음 논문 ⟩

초록

Recent developments in underwater image recognition methods have received large attention by the ocean engineering researchers. In this paper, an improved bi-dimensional empirical mode decomposition (BEMD) approach is employed to decompose the given underwater image into intrinsic mode functions (IMFs) and residual. We developed a joint algorithm based on BEMD and Canny operator to extract multi-pixel edge features at multiple scales in IMFs sub-images. So the multiple pixel edge extraction is an advantage of our approach; the other contribution of this method is the realization of the bi-dimensional sifting process, which is realized utilizing regional-based operators to detect local extreme points and constructing radial basis function for curve surface interpolation. The performance of the multi-pixel edge extraction algorithm for processing underwater image is demonstrated in the contrast experiment with both the proposed method and the phase congruency edge detection.

키워드

참고문헌

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피인용 문헌

  1. An adaptive method of multi-scale edge detection for underwater image vol.6, pp.3, 2016, https://doi.org/10.12989/ose.2016.6.3.217