Mosaicing of acoustic camera images
Mosaicing of acoustic camera images
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DOI：
10.1049/ip-rsn:20045015
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发表时间：
2005-08-01
期刊：
影响因子：
--
通讯作者：
Intrator, N
中科院分区：
文献类型：
--
作者：
Kim, K;Neretti, N;Intrator, N
针对高噪声、低帧率、光照不均匀的水下声纳图像序列，提出了一种图像配准和拼接算法。声学相机的成像几何结构与针孔相机的成像几何结构显著不同。对于通过经历平移和旋转运动的针孔相机观察的平面表面，可以经由投影变换来获得配准。对于声学相机，它示出，在相同的条件下，仿射变换是一个很好的近似。提出了一种新的图像融合方法，该方法能最大化拼接图像的信噪比。整个过程包括光照校正、基于特征的变换估计和图像融合拼接。
An algorithm for image registration and mosaicing on underwater sonar image sequences characterised by a high noise level, inhomogeneous illumination and low frame rate is presented. Imaging geometry of acoustic cameras is significantly different from that of pinhole cameras. For a planar surface viewed through a pinhole camera undergoing translational and rotational motion, registration can be obtained via a projective transformation. For an acoustic camera, it is shown that, under the same conditions, an affine transformation is a good approximation. A novel image fusion method, which maximises the signal-to-noise ratio of the mosaic image is proposed. The full procedure includes illumination correction, feature based transformation estimation, and image fusion for mosaicing.