Rotation Distortion Invariant Image Recognition Based on Fractional Correlation

被引：0
|
作者：
Wang, Hongxia [1 ]
Li, Panshi [1 ]
Zhou, Zhanrong [1 ]
Zhu, Youzhang [1 ]
机构：
[1] Second Artillery Engn Univ, Dept Phys, Xian 710025, Peoples R China
来源：
ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4 | 2012年 / 220-223卷
关键词：
Image recognition; Fractional Fourier transform; Fractional correlation; Rotation distortion invariant recognition; FOURIER-TRANSFORM;
D O I：
10.4028/www.scientific.net/AMM.220-223.2899
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a fast algorithm for fractional Fourier transform was proposed based on the theory of fractional Fourier transform, the fast numerical calculation of the fractional Fourier transform and fractional correlation was realized using MATLAB language. The characteristics of rotation distortion invariant image recognition based on fractional correlation were analyzed and compared with the traditional correlation. The results show that the quality of the fractional correlation peak is obviously improved. When fractional order P = 0.7, the fractional correlator can realize rotation distortion invariant image recognition within the scope of 15 degrees.
引用
收藏
页码：2899 / 2902
页数：4
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