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Using Markov random fields for contour-based grouping

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4 Author(s)
Massmann, A. ; AG Angewandte Inf., Bielefeld Univ., Germany ; Posch, S. ; Sagerer, G. ; Schluter, D.

To overcome fragmentation of an initial contour-based segmentation and to organize contour segments into image primitives on a higher level of abstraction, regularities of the image data are exploited using ideas from the Gestalt psychology. First, groups are hypothesized within a hierarchy based on local evidence only, where the criteria are derived from a hand labelled training set. These hypotheses are subsequently judged in a global context using a Markov random field to derive a global interpretation. Examples of results for real data are given

Published in:

Image Processing, 1997. Proceedings., International Conference on  (Volume:2 )

Date of Conference:

26-29 Oct 1997