文献类型：期刊文献

英文题名：Image recognition by affine moment invariants in hartley transform domains

作者：Zhu, Hongqing[1]; Nie, Zongfeng[1]; Ding, Meiyu[1]

机构：[1] Department of Electronics and Communications Engineering, East China University of Science and Technology, Shanghai, China

年份：2010

起止页码：630

外文期刊名：ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies

收录：EI(收录号：20110213579764)

语种：英文

外文关键词：Affine transforms

摘要：The determination of affine invariant characteristics is an important problem in pattern recognition. Existing methods to obtain affine invariants are mainly based on moments in the spatial domain. This paper introduces affine moment invariants in Hartley transform domain. The magnitude of the Hartley transform is reconstructed by thresholding. Several affine moment invariants are obtained from the reconstructed image in Hartley transform domain. These affine invariant features can be used to recognize the distorted images in spatial domain. It is found that affine invariants in the Hartley transform domain are robust to noise and the recognition rate is increased. Experimental results are presented to illustrate the performance of the invariants for affine deformed images. ?2010 IEEE.