Underwater Image Feature Matching Based on Inhomogeneous Illumination

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 295)

Abstract

In this paper, the problem of underwater image matching was concerned. The accuracy of underwater image feature matching is significant for underwater vision research. Due to the attributes including absorption and scattering of water, three problems should be accomplished: image acquisition, image processing, and image matching. In response to the first problem, an inhomogeneous illumination method is developed to acquire clear underwater-image. Then contrast limited adaptive histogram equalization was used to process the original image. Finally, an effective algorithm based on SIFT features is used to achieve precise image matching.

Keywords

Inhomogeneous illumination CLAHE Feature extraction Image matching 

References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Electric EngineeringOcean University of ChinaQingdaoChina

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