Order statistic filters for image matching

Banks, Jasmine (2001) Order statistic filters for image matching. In Barner, Kenneth & Arce , Gonzalo (Eds.) Proceedings 2001 IEEE-EURASIP Workshop on Nonlinear Signal and Image Proocessing, University of Delaware, Baltimore, Maryland, USA., Baltimore, Maryland, USA.

Abstract

The rank and census are two filters based on order statistics which have been applied to the image matching problem for stereo pairs. Advantages of these filters include their robustness to radiometric distortion and small amounts of random noise, and their amenability to hardware implementation. In this paper, a new matching algorithm is presented, which provides an overall framework for matching, and is used to compare the rank and census techniques with standard matching metrics. The algorithm was tested using both real stereo pairs and a synthetic pair with ground truth.

The rank and census filters were shown to significantly improve performance in the case of radiometric distortion. In all cases, the results obtained were comparable to, if not better than, those obtained using standard matching metrics. Furthermore, the rank and census have the additional advantage that their computational overhead is less than these metrics. For all techniques tested, the difference between the results obtained for the synthetic stereo pair, and the ground truth results was small.

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ID Code: 58769
Item Type: Conference Paper
Refereed: Yes
Keywords: stereo matching, area-based, rank transform, census transform
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2001 Please consult the author.
Deposited On: 02 Apr 2013 04:35
Last Modified: 02 Apr 2013 06:30

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