Radial Zernike moment invariants

被引:0
|
作者
Zernike, R [1 ]
机构
[1] Georgia State Univ, Dept Comp Sci, Atlanta, GA 30303 USA
关键词
invariance; moment invariants; radial moments; pattern recognition; feature extraction;
D O I
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
Radial Zernike moment invariants are special case from the complex Zernike moment invariants The radial and angular dependence of Zernike moments is naturally separable which makes them very suitable features for achieving rotational invarinces. The major drawback of Zernike moments in general and radial Zernike moments in particular is the scale and translation invariance can only be achieved by relating them to the central regular moments. In this paper we explicitly make Radial Zernike moments invariant to scale, translation and rotation directly without the need to use the regular moments. The proposed form of Radial Zernike moment invariants is extensively tested using several gray level images. The results clearly demonstrate the effectiveness of this new method and superiority over the traditional Zernike moment invariants.
引用
收藏
页码:790 / 795
页数:6
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