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Primary image segmentation

: Köthe, U.

Sagerer, G.:
Mustererkennung 1995. Verstehen akustischer und visueller Informationen
Berlin: Springer, 1995
ISBN: 3-540-60293-3
Deutsche Arbeitsgemeinschaft für Mustererkennung (Symposium) <17, 1995, Bielefeld>
Conference Paper
Fraunhofer IGD ()
Bildanalyse; Bildsegmentierung; edge detection; image analysis; image segmentation; Kantendetektion; region growing; Regionenwachstum

This paper introduces the notion of primary image segmentation which serves as a well defined link between low- and high-level image analysis. A general algorithmic framework based on priority queues is proposed that allows for the integration of a variety of different segmentation algorithms. A seeded region growing approach, along with a number of improved seed selection methods and foveation of critical areas, is chosen to realize this framework. Experimental evaluation shows very good performance of these algorithms on a relatively large number of outdoor photographs without the need to adjust parameters.