Primary Image Segmentation

Ullrich Köthe

in: G. Sagerer, S. Posch, F. Kummert (Hrsg.): Mustererkennung 1995, 17. DAGM-Symposium, pp. 554-561, Heidelberg: Springer, 1995 (note: this article is © Springer-Verlag)

Abstract

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.

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