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Meaningful alignments
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DOI：10.1023/A:1026593302236.png)
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Abstract
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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.
Keywords:
alignment
Gestalt
Helmnoltz
principle
probability
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