Detecting intrinsically two-dimensional image structures using local phase

被引:0
|
作者
Zang, Di [1 ]
Sommer, Gerald [1 ]
机构
[1] Univ Kiel, Cognit Syst Grp, Dept Comp Sci, D-24118 Kiel, Germany
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暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a novel approach towards detecting intrinsically two-dimensional (i2D) image structures using local phase information. The local phase of the i2D structure can be derived from a curvature tensor and its conjugate part in a rotation-invariant manner. By employing damped 2D spherical harmonics as basis functions, the local phase is unified with a scale concept. The i2D structures can be detected as points of stationary phases in this scale-space by means of the so call phase congruency. As a dimensionless quantity, phase congruency has the advantage of being invariant to illumination change. Experiments demonstrate that our approach outperforms Harris and Susan detectors under the illumination change and noise contamination.
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页码:222 / 231
页数:10
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