Image registration and mosaicing of noisy acoustic camera images

Kio Kim, Nathan Intrator, Nicola Neretti

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

Abstract

We introduce an algorithm for image registration and mosaicing on underwater sonar image sequences characterized by a high noise level, inhomogeneous illumination and low frame rate. 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, we show that, under the same conditions, an affine transformation is a good approximation. We propose a novel image fusion, 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 publication11th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2004
Pages527-530
Number of pages4
StatePublished - 2004
Externally publishedYes
Event11th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2004 - Tel Aviv, Israel
Duration: 13 Dec 200415 Dec 2004

Publication series

Name11th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2004

Conference

Conference11th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2004
Country/TerritoryIsrael
CityTel Aviv
Period13/12/0415/12/04

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