文档介绍：Proceedings of the 5" World Congress on Intelligent Control
and Automation, June 15-19. 2004, Hangzhou, . China
A Target Recognition of Wavelet work
Based on Relative Moment Features
Yongzeng Shen, Qicong Wang and Shiming Yu
The College of Information Engineering
Zhejiang University of TechnologV
Hangzhou, Zhejiang Province, China
******@zjut,
Abstract - In target recognition, the image of the object there identify the rotation, translation and scaling change of the
will be the translation, rotation and scaling. Because the moment object image effectively.
has some invraiants, it has been used widely in the domain of
image identification. The quadrature moment and the wavelet 11. Invariant moment and its limitation
moment has the rotation invariant, but they must pass the
normalization pretreatment talent to the translation and scaling Suppose a discrete image function has MxN dimensions.
of the target invariant moments although have the Its O+R order geometrical moment and centre moment are:
rotation,translation and scaling invariant features, full the
sensitive with error to the small target distortion and error
because of its high order moment, limiting its this
paper we use a new kind of moment algorithm to get some real
rotation,translation and scaling invariant features of the target. -
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