Analysis of Gaussian-Hermite Moment Invariants on Image Geometric Transformation

被引：0
|
作者：
Zhang, Chaoxin [1 ]
Xi, Ping [1 ]
机构：
[1] Beihang Univ, Beijing 100191, Peoples R China
来源：
COMPUTER AND INFORMATION TECHNOLOGY | 2014年 / 519-520卷
关键词：
Gaussian-Hermite moment; Moment invariants; Pattern recognition; Geometric transformation;
D O I：
10.4028/www.scientific.net/AMM.519-520.557
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Gaussian-Hermite moments and their invariants have been widely used in image processing and pattern recognition. The moments are strictly invariant for the continuous function. However, the digital images are discrete. The image function and the moment imvariants may change during image geometric transformation. To address this problem, an analysis with respect to the fluctuation of moment invariants on image geometric transformation is presented. The guidance is provided as well to minimizing the fluctuation of the Gaussian-Hermite moments.
引用
收藏
页码：557 / 561
页数：5
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