A Multi-View Sonar Image Fusion Method Based on Nonsubsampled Contourlet Transform and Morphological Modification

Zhi Gang Zhang; Hong Yu Bian; Zi Qi Song; Hui Xu

doi:10.4028/www.scientific.net/AMM.530-531.567

Paper Titles

Research on the Performance of Suppressing Interference Using Double Stages Wiener Filter in Underwater Noise Measurement
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Research of Time Delay Estimation Based on Higher Order Statistics
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Multi-Structural Non-Linear Data Fusion Method
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Nonlinear Vibration with Volterra Series Method Used in Civil Engineering: The Bouc - Wen Hysteresis Model of Generalized Frequency Response
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A Multi-View Sonar Image Fusion Method Based on Nonsubsampled Contourlet Transform and Morphological Modification
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Study of Remote Sensing Image Registration System
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Quality Assessment of ECG Signal Based on Wavelet Energy Ratio and Wavelet Energy Entropy
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Direction of Arrival Estimation Based on a Tensor Approach
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Complexity Analysis of Rainfall in Jinsha River Basin, China
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531A Multi-View Sonar Image Fusion Method Based on...

A Multi-View Sonar Image Fusion Method Based on Nonsubsampled Contourlet Transform and Morphological Modification

Abstract:

In underwater detection, a single image from the image sonar doesnt have the capacity to fully describe the surface of the interested target. In practice, a target is usually detected from various views, and similar contours and textures in a series of multi-view images can be employed. This work offers a novel technique for the fusion of a series of sonar images in multi-view detection of the same target, to improve the quality of images and repair the regions of target. The method takes advantage of Nonsubsampled Contourlet Transform (NSCT) to acquire coefficient matrixes of different resolutions and directions. Besides, a framework for sonar image fusion is set up based on morphology modification. The coefficient matrixes in NSCT domain are fused in the multi-scale framework and revised in decision-making. Experimental results show that target regions in the fused sonar images are effectively repaired and image quality also get improved evidently.