Detection of aligned objects for high resolution image understanding
In this article we present a method for extracting groups of aligned objects from a labeled image. Our method is based on fuzzy measures of relative direction between the objects, leading to a fuzzy approach for defining alignment as a spatial relation. The method is able to capture the ambiguities presented when defining alignment between objects of different sizes. Two definitions of alignment are presented; local and global. The local alignments are first extracted and are used as candidates for the global alignments. Applications of the alignment relation on real images illustrates its interest for high level image interpretation.