Searching aligned groups of objects with fuzzy criteria

Authors:
Maria Carolina Vanegas;Isabelle Bloch;Jordi Inglada
Affiliations:
Institut Telecom, Télécom ParisTech , CNRS, LTCI, UMR, Paris, France and CNES, Toulouse, France;Institut Telecom, Télécom ParisTech , CNRS, LTCI, UMR, Paris, France;CNES, Toulouse, France
Venue:
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Year:
2010

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Abstract

The detection of aligned groups of objects is important for satellite image interpretation. This task can be challenging when objects have different sizes. In this paper, we propose a method for extracting aligned objects from a labeled image. In this method we construct a neighborhood graph of the objects of the image, and its dual graph where we incorporate information about the relative direction of the objects, evaluated using fuzzy measures of relative position. The groups of objects satisfying the fuzzy criterion of being locally aligned are extracted from the dual graph. These groups are the candidates for being (globally) aligned. The method was tested on synthetic images, and on objects extracted from real images demonstrating that the method extracts the aligned groups of objects even if the objects have different sizes.