Good continuations in digital image level lines

Good continuations in digital image level lines
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数字图像水平线的良好延续

DOI:
10.1109/iccv.2003.1238380
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发表时间:
2003
期刊:
Proceedings Ninth IEEE International Conference on Computer Vision
影响因子:
--
通讯作者:
F. Cao
F. Cao
中科院分区:
--
文献类型:
--
作者:
F. Cao

文献摘要

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我们提出了一种概率算法,能够检测一组数字曲线中意外平滑的曲线。唯一的参数是误报率,仅通过其对数影响检测。我们在图像水平线上试验了良好的连续性标准。结论之一是,根据格式塔理论,人们可以以一种广泛独立于对比度的方式检测边缘。我们还使用同样的方法来检测拐角和交界处。
We propose a probabilistic algorithm able to detect the curves that are unexpectedly smooth in a set of digital curves. The only parameter is a false alarm rate, influencing the detection only by its logarithm. We experiment the good continuation criterion on image level lines. One of the conclusion is that, accordingly to Gestalt theory, one can detect edges in a way that is widely independent of contrast. We also use the same kind of method to detect corners and junctions.