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NSCT-based fusion method for forward-looking sonar image mosaic

机译:基于NSCT的前声纳图像拼接融合方法

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摘要

To generate a seamless mosaic of a forward-looking sonar (FLS) video sequence, this study proposes a novel fusion method for FLS image mosaic, which includes two main steps from coarse to fine. In the coarse fusion step, the source images are first decomposed into multi-scale sub-bands using the non-subsampled contourlet transform (NSCT), then the sub-bands of the source images are merged, based on the Gabor energy and the local contrast for low and high frequency sub-bands, respectively, to generate the fused sub-bands which are used to produce the fused image by inverse NSCT. In the fine fusion step, a decision map is used to choose the pixels of the fine fused image from the coarsely fused image or one of the source images. This decision map is first constructed by measuring the similarity of the coarsely fused image to the source images, and then processed by a morphological post-processing technique to ensure its continuity and smoothness. Extensive experiments on FLS image fusion and mosaic have been conducted to demonstrate the effectiveness and the superiority of the proposed technique using both a subjective evaluation and objective metrics.
机译:为了生成前视声纳(FLS)视频序列的无缝拼接,这项研究提出了一种新颖的FLS图像拼接融合方法,该方法包括从粗到精的两个主要步骤。在粗融合步骤中,首先使用非子采样轮廓波变换(NSCT)将源图像分解为多尺度子带,然后基于Gabor能量和局部噪声将源图像的子带合并。分别针对低频子带和高频子带进行对比,以生成融合子带,这些融合子带用于通过反NSCT生成融合图像。在精细融合步骤中,决策图用于从粗融合图像或源图像之一中选择精细融合图像的像素。首先通过测量粗融合图像与源图像的相似度来构造此决策图,然后通过形态学后处理技术对其进行处理以确保其连续性和平滑性。已经进行了关于FLS图像融合和镶嵌的广泛实验,以使用主观评估和客观指标来证明所提出技术的有效性和优越性。

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