Geometric transformation based independent component analysis for mixed image separation

被引：2
|
作者：
Chiu, Shih-Hsuan [1 ]
Lu, Chuan-Pin [2 ]
Wu, Dien-Chi [1 ]
Wen, Che-Yen [3 ]
机构：
[1] Natl Taiwan Univ Sci & Technol, Dept Polymer Engn, Taipei 10607, Taiwan
[2] Meiho Inst Technol, Dept Informat Technol, Pingtung 91202, Taiwan
[3] Cent Police Univ, Dept Forens Sci, Tao Yuan 33304, Taiwan
来源：
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS | 2008年 / 31卷 / 03期
关键词：
independent component analysis; scatter diagram; geometric transformation; mixed images separation;
D O I：
10.1080/02533839.2008.9671403
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An independent component analysis (ICA) method for image separation by geometric transformation of a scatter diagram is proposed. Geometric transformation and normalization are used to project mixed image signals to independent component space. This method includes four procedures: data correction, whitening, geometric rotation, and slant compensation. Several synthetic mixed image and real applications are used to evaluate the performance of the proposed method. From experimental results, mixed images are separated accurately by the proposed method.
引用
收藏
页码：497 / 502
页数：6
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