Mosaicing of acoustic camera images | Zendy

K. Kim | Zendy; Nicola Neretti | Zendy; Nathan Intrator | Zendy

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Mosaicing of acoustic camera images

Author(s) -

K. Kim,

Nicola Neretti,

Nathan Intrator

Publication year - 2005

Publication title -

iee proceedings - radar sonar and navigation

Language(s) - English

Resource type - Journals

eISSN - 1359-7086

pISSN - 1350-2395

DOI - 10.1049/ip-rsn:20045015

Subject(s) - artificial intelligence , computer vision , affine transformation , pinhole camera model , computer science , image registration , transformation (genetics) , pinhole (optics) , pinhole camera , noise (video) , feature (linguistics) , frame rate , image fusion , camera auto calibration , image (mathematics) , mathematics , camera resectioning , optics , physics , biochemistry , chemistry , linguistics , philosophy , pure mathematics , gene

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.

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