Ranking Color Correction Algorithms using Cluster Indices


Contact
Melanie.Bergmann [ at ] awi.de

Abstract

In the field of underwater imaging it is often necessary to pre-process images to homogenize image quality across a whole image transect and to compensate variations in imaging conditions. A variety of pre-processing methods have been developed in the recent years to overcome different problems occurring in underwater imaging, hence performing different on different image sets. Protocols for an objective comparison and scoring of those methods are needed. Here we show how to use cluster indices to rank the different methods regarding their per- formances on different image sets. Our results show different ranking for four pre-processing methods for two chosen sets of benthic images from the deep seafloor.



Item Type
Conference (Conference paper)
Authors
Divisions
Primary Division
Programs
Primary Topic
Research Networks
Peer revision
Not peer-reviewed
Publication Status
Published
Event Details
International Conference on Pattern Recognition workshop: Computer vision for analysis of underwater imagery, 24 Aug 2014 - 01 Jan 1970, Stockholm.
Eprint ID
35689
Cite as
Osterloff, J. , Schoening, T. , Bergmann, M. , Durden, J. M. and Nattkemper, T. W. (2014): Ranking Color Correction Algorithms using Cluster Indices , International Conference on Pattern Recognition workshop: Computer vision for analysis of underwater imagery, Stockholm, 24 August 2014 - unspecified .


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