A. Desolneux, L. Moisan, J.-M. Morel
We propose a method for detecting geometric structures in an image, without
any a priori information. Roughly speaking, we say that an observed geometric
event is ``meaningful'' if the expectation of its occurences would be very
small in a random image. We discuss the apories of this definition, solve
several of them by introducing ``maximal meaningful events'' and
analyzing their structure. This methodology is applied to the detection of
alignments in images.