Using Markov Random Fields for Contour-Based Grouping

Maßmann S, Sagerer G, Posch S (1997)
In: Proceedings International Conference on Image Processing., 2. IEEE: 207-210.

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Konferenzbeitrag | Veröffentlicht | Englisch
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Abstract / Bemerkung
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.
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Proceedings International Conference on Image Processing
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2
Seite
207-210
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Maßmann S, Sagerer G, Posch S. Using Markov Random Fields for Contour-Based Grouping. In: Proceedings International Conference on Image Processing. Vol 2. IEEE; 1997: 207-210.
Maßmann, S., Sagerer, G., & Posch, S. (1997). Using Markov Random Fields for Contour-Based Grouping. Proceedings International Conference on Image Processing, 2, 207-210
Maßmann, S., Sagerer, G., and Posch, S. (1997). “Using Markov Random Fields for Contour-Based Grouping” in Proceedings International Conference on Image Processing, vol. 2, (IEEE), 207-210.
Maßmann, S., Sagerer, G., & Posch, S., 1997. Using Markov Random Fields for Contour-Based Grouping. In Proceedings International Conference on Image Processing. no.2 IEEE, pp. 207-210.
S. Maßmann, G. Sagerer, and S. Posch, “Using Markov Random Fields for Contour-Based Grouping”, Proceedings International Conference on Image Processing, vol. 2, IEEE, 1997, pp.207-210.
Maßmann, S., Sagerer, G., Posch, S.: Using Markov Random Fields for Contour-Based Grouping. Proceedings International Conference on Image Processing. 2, p. 207-210. IEEE (1997).
Maßmann, S., Sagerer, Gerhard, and Posch, S. “Using Markov Random Fields for Contour-Based Grouping”. Proceedings International Conference on Image Processing. IEEE, 1997.Vol. 2. 207-210.

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