Fast computation of invariant geometric moments: a new method giving correct results

Invariant geometric moments have been widely used in shape analysis and pattern recognition. Using a discrete version of Green's theorem, the authors propose a method for fast computation of the moments in binary images. The method is similar to-and as efficient as-the previous method of Li and...

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Published inPattern Recognition, 1994 12th International Conference On. Vol. 1 Vol. 1; pp. 201 - 204 vol.1
Main Authors Yang, L., Albregtsen, F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1994
Subjects
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ISBN0818662654
9780818662652
DOI10.1109/ICPR.1994.576257

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Abstract Invariant geometric moments have been widely used in shape analysis and pattern recognition. Using a discrete version of Green's theorem, the authors propose a method for fast computation of the moments in binary images. The method is similar to-and as efficient as-the previous method of Li and Shen (1991). But the precision is largely improved. The new method gives exactly the same results as if the moments were computed by direct summation over the object area.
AbstractList Invariant geometric moments have been widely used in shape analysis and pattern recognition. Using a discrete version of Green's theorem, the authors propose a method for fast computation of the moments in binary images. The method is similar to-and as efficient as-the previous method of Li and Shen (1991). But the precision is largely improved. The new method gives exactly the same results as if the moments were computed by direct summation over the object area.
Author Yang, L.
Albregtsen, F.
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Snippet Invariant geometric moments have been widely used in shape analysis and pattern recognition. Using a discrete version of Green's theorem, the authors propose a...
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StartPage 201
SubjectTerms Computational efficiency
Image processing
Informatics
Kernel
Laboratories
Pattern analysis
Pattern recognition
Shape
Title Fast computation of invariant geometric moments: a new method giving correct results
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