Hierarchical Region-based Representation For Segmentation And Filtering With Depth In Single Images

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.

• Type: Conference
• Year: 2009
• Where: ICIP
• Keywords: Depth Ordering Information, Depth Relations, ICIP 2009, Image Processing, Region Merging Algorithm