期刊名称：International Journal of Computer Systems Science and Engineering
印刷版ISSN：1307-430X
出版年度：2008
卷号：04
期号：03
页码：176-176
出版社：World Academy of Science, Engineering and Technology
摘要：Orthogonal Legendre moments are used in several
pattern recognition and image processing applications. Translation
and scale Legendre moment invariants are achieved directly by using
Legendre polynomials. Unfortunately, this method can not convert
into a rotational invariant form. This is a big disadvantage and limits
the use of Legendre moment invariants in many vital applications. In
this paper, an indirect method is used in computing invariant
Legendre moments as a linear combination of translation, scaling and
rotation geometric moment invariants. Geometric moment invariants
are computed exactly for symmetric as well as non-symmetric binary
and gray-scale images. According to the tremendous reduction of the
computational complexity, the proposed set of Legendre descriptors
is suitable for large size images. The performance of these
descriptors is evaluated by using a set of standard images.
关键词：Legendre moment invariants, geometric moments,
symmetric images.
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