THE APPLICATION OF WAVELET INVARIANT MOMENTS TO IMAGE RECOGNITION

摘要：

In this paper, wavelets invariant moments are presented based on general moment features and are applied to the recognition of airplane images. The experiments prove that wavelet invariant moments are superior to Hus invariant moments and Zernike invariant moments on recognition efficiency.

关键词： Hus invariant moments Zernike invariant moments wavelet invariant moments feature selection BP neural network divergence sequential forward selection

作者: RUI-HONG YANG QUAN PAN YONG-MEI CHENG

作者单位: College of Automation, Northwestern Polytechnical University, Xian 710072, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 3243-3247

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）