Paper cut-out patterns recognition using R-transform and SVD

doi:10.3778/j.issn.1002-8331.2011.02.044

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (2): 143-145.DOI: 10.3778/j.issn.1002-8331.2011.02.044

• 图形、图像、模式识别 • Previous Articles Next Articles

Paper cut-out patterns recognition using R-transform and SVD

WANG Xiaoyun¹，WEI Yueqiong²，LI Guoxiang³，QIN Fangyuan³，ZHANG Xianquan³

1.College of Mathematics & Computer Science，Yangtze Normal University，Chongqing 408100，China
2.Guangxi Administration of Radio and Television Monitoring Center，Nanning 530022，China
3.Department of Computer Science，Guangxi Normal University，Guilin，Guangxi 541004，China

Received:2009-08-11 Revised:2009-11-26 Online:2011-01-11 Published:2011-01-11
Contact: WANG Xiaoyun

应用R变换和奇异值分解的剪纸纹样识别

王晓云¹，韦月琼²，李国祥³，秦芳远³，张显全³

1.长江师范学院数学与计算机学院，重庆 408100
2.广西广播电视监测中心，南宁 530022
3.广西师范大学计算机科学系，广西桂林 541004

通讯作者: 王晓云

Abstract

Abstract: The paper-cut patterns are transformed by an R-transform.And then the result of R-transform is normalized.Through SVD eigenvector of image recognition can be gotten.The paper-cutting patterns are recognized according to the peak value and the characteristic vector.The experiment proves that this algorithm is invariant to rotation，scale and translation as well as suitable for the recognition of paper-cutting patterns.

Key words: R-transform, Sigular Value Decomposition（SVD）, feature extraction, patterns recognition

摘要： 首先对剪纸纹样进行R变换，求出峰值数，对R变换数据进行归一化处理，通过奇异值分解得到图像识别的特征向量，根据特征向量值和峰值数对剪纸纹样的识别。使用该方法提取到的特征向量具有平移、旋转和尺度不变性，能较好地识别有一定艺术夸张变形的剪纸纹样。

关键词: R变换, 奇异值分解, 特征提取, 纹样识别

CLC Number:

TP391

WANG Xiaoyun¹，WEI Yueqiong²，LI Guoxiang³，QIN Fangyuan³，ZHANG Xianquan³. Paper cut-out patterns recognition using R-transform and SVD[J]. Computer Engineering and Applications, 2011, 47(2): 143-145.

王晓云¹，韦月琼²，李国祥³，秦芳远³，张显全³. 应用R变换和奇异值分解的剪纸纹样识别[J]. 计算机工程与应用, 2011, 47(2): 143-145.

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Paper cut-out patterns recognition using R-transform and SVD

应用R变换和奇异值分解的剪纸纹样识别

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