Image registration and mosaicing of acoustic camera images

Kio Kim, Nathan Intrator, Nicola Neretti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents an algorithm for image registration and mosaicing on underwater sonar image sequences characterized by a high noise level, inhomogeneous illumination and low frame rate. 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. We show that, under the same condition, an affine transformation is a good approximation for an acoustic camera. We further propose a novel image fusion method, which maximizes the signal-to-noise ratio of the mosaic image. The full procedure includes illumination correction, feature based transformation estimation, and image fusion for mosaicing.

Original languageEnglish
Title of host publicationProceedings of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing
EditorsJ.J. Villanueva
Pages713-718
Number of pages6
StatePublished - 2004
Externally publishedYes
EventProceedings of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing - Marbella, Spain
Duration: 6 Sep 20048 Sep 2004

Publication series

NameProceedings of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing

Conference

ConferenceProceedings of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing
Country/TerritorySpain
CityMarbella
Period6/09/048/09/04

Keywords

  • Acoustic camera
  • DIDSON
  • Image mosaicing
  • Image registration

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