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Ocean Systems Engineering Volume 2, Number 2, June 2012 , pages 137-145 DOI: https://doi.org/10.12989/ose.2012.2.2.137 |
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A method for underwater image analysis using bi-dimensional empirical mode decomposition technique |
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Liu Bo and Lin Yan
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| Abstract | ||
| 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 multipixel edge extraction algorithm for processing underwater image is demonstrated in the contrast experiment with both the proposed method and the phase congruency edge detection. | ||
| Key Words | ||
| underwater image; bi-dimensional empirical mode decomposition; edge feature detector; phase congruency; multiple pixel edge extraction | ||
| Address | ||
| Liu Bo and Lin Yan : State Key Laboratory of Structural Analysis for Industrial Equipment, School of Naval Architecture and Ocean Engineering, Dalian University of Technology, 116024 Dalian, P.R. China | ||
