计算机科学 ›› 2010, Vol. 37 ›› Issue (5): 268-270.

• 图形图像 • 上一篇    下一篇

基于多分辨Fourier-Mellin变换的剪纸纹样识别算法

王晓云,韦月琼,秦芳远,李国祥,张显全   

  1. (长江师范学院数学与计算机学院 涪陵408100);(广西广播电视监测中心 南宁530022);(广西师范大学计算机科学系 桂林541004)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受广西自然科学基金(0832104},重庆市教委科学技术研究项目(KJ081309),广西教育厅项目(桂教科研[2009]25号),广西研究生教育创新计划项目(2008106020812M259)资助。

Algorithm for Recognition Methods of Paper-cutting's Patterns Based on Multiresolution Fourier-Mellin Transform

WANG Xiao-yun,WEI Yue-qiong,QIN Fang-yuan,LI Guo-xiang,ZHANG Xian-quan   

  • Online:2018-12-01 Published:2018-12-01

摘要: 提出一种基于多分辨Fouricr-Mellin的剪纸纹样识别算法。该算法先对剪纸纹样图像进行Fouricr-Mellin变换,再对变换后的图像通过小波变换计算出各层方差和均值,得到剪纸纹样不同子带的特征值,应用支持向量机对剪纸纹样进行识别。实验证明,该方法不仅具有平移、旋转和尺度不变性,而且适用于有夸张艺术变形的剪纸纹样识别。

关键词: 多分辨Fourier-Mellin变换,特征提取,支持向量机,纹样识别

Abstract: A paper-cutting recognition algorithm was proposed based on Multiresolution Fourier-Mellin transform. The algorithm does Fourier-Mellin transform on paper-cutting, then based on the invariance of Fourier-Mcllin transform, calculates the energies of the subbands acquired by wavelet transform, which is composed by mean square deviation and mean value of apiece subband. These energies regard as the invariant feature vectors. Experiments indicate that this feature vector not only has the translation, rotation and scale invariance, but also satisfactorily achieves the excessive geometrical deformation pattern recognition.

Key words: Multiresolution Fourier-Mellin transform, Feature extraction, SVM, Pattern recognition

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