On processing and registration of forward-scan acoustic video imagery

Shahriar Negahdaripour, P. Firoozfam, P. Sabzmeydani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

43 Scopus citations

Abstract

Producing high-resolution underwater imagery in range of visibility conditions is a capability of critical demand for a number of applications. New generation of forward-scan acoustic video cameras, becoming available for commercial applications in recent years, produce images with considerably more target details than optical systems in turbid waters. Previous computer processing of sonar imagery has dominantly involved target segmentation, classification and recognition by exploiting 2D visual cues from texture, or object/shadow shape in a single frame. Processing of video is becoming more and more important because of various applications that involve target tracking, object identification in search and inspection, self localization and mapping, among many other applications. This paper addresses the image registration problem for acoustic video, and the preprocessing steps to be applied to the raw video from a DID-SON acoustic camera for image calibration, filtering and enhancement to achieve reliable results.

Original languageEnglish (US)
Title of host publicationProceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages452-459
Number of pages8
ISBN (Print)0769523196, 9780769523194
DOIs
StatePublished - 2005
Event2nd Canadian Conference on Computer and Robot Vision, CRV 2005 - Victoria, Canada
Duration: May 9 2005May 11 2005

Other

Other2nd Canadian Conference on Computer and Robot Vision, CRV 2005
CountryCanada
CityVictoria
Period5/9/055/11/05

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Negahdaripour, S., Firoozfam, P., & Sabzmeydani, P. (2005). On processing and registration of forward-scan acoustic video imagery. In Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005 (pp. 452-459). [1443165] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CRV.2005.57