Invariant Shape Representation by Radon and Wavelet Transforms for Complex Inner Shapes

摘要：

This paper proposes a novel and effective invariant shape representation by Radon and stationary wavelet transforms for images with complex inner shapes. The proposed method is invariant to general geometrical transformations. Instead of analyzing shapes directly in the spatial domain, the proposed method retrieves features in radon transform domain by statistical and spectral analysis to make shapes translation and size invariant. The stationary wavelet transform is used to make shapes rotation invariant. Experiment results show that the proposed shape representation is invariant to rotation, translation, and/or scaling changes for images with complex inner shapes, and outperforms the other existing methods with higher recognition rates.

关键词： Invariant Shape Representation Shape Recognition Radon Transform Stationary Wavelet Transform

作者: Wenli Yao Chi-Man Pun

作者单位: Computer and Information Science Department,University of Macau,Av. Padre Tomás Pereira,Taipa,Macau SAR,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)

会议地点: 珠海、澳门

会议语种:英文

页码: 1144-1149

在线出版日期: 2009-06-22（万方平台首次上网日期，不代表论文的发表时间）