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Hierarchical region-based representation for segmentation and filtering with depth in single images

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2 Author(s)
Dimiccoli, M. ; Dept. of Signal Theor. & Commun. (TSC), Univ. Politec. de Catalunya (UPC), Barcelona, Spain ; Salembier, P.

This paper presents an algorithm for tree-based representation of single images and its applications to segmentation and filtering with depth. In a our recent work, we have addressed the problem of segmentation with depth by incorporating depth ordering information into a region merging algorithm and by reasoning about depth relations through a graph model. In this paper, we extend this previous work giving a two-fold contribution. First, we propose to model each pixel statistically by its probability distribution instead of deterministically by its color value. Second, we propose a depth-oriented filter, which allows to remove foreground regions and to replace them with a plausible background. Experimental results are satisfactory.

Published in:

Image Processing (ICIP), 2009 16th IEEE International Conference on

Date of Conference:

7-10 Nov. 2009

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