Meaningful Alignments

被引：0

作者：

Agnès Desolneux

Lionel Moisan

Jean-Michel Morel

机构：

[1] ENS Cachan,CMLA

来源：

International Journal of Computer Vision | 2000年 / 40卷

关键词：

alignment; Gestalt; Helmnoltz; principle; probability;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

引用

页码：7 / 23

页数：16

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