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

Authors:
Mariella Dimiccoli;Philippe Salembier
Affiliations:
Universitat Politecnica de Catalunya, Dept. of Signal Theory and Communications, Barcelona, Spain;Universitat Politecnica de Catalunya, Dept. of Signal Theory and Communications, Barcelona, Spain
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

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.