Presentation 2006-12-14
A Study of Expansion, Translation and Rotation-Invariant Feature Using Log Autocorrelation on Radon Transform Domain
Makoto HASEGAWA,
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Abstract(in English) Logarithm converted autocorrelation on Radon transform domain (LACK) is considered. When objects are translated in a picture, the LACK becomes invariable by autocorrelation for its radius direction so that the Radon domain may move only for the radius. Moreover, the LACR is translated when the objects are expanded or rotated. Autocorrelation of LACR is invariable in expansion, translation, and rotation. We propose a method of pattern matching using the LACR and phase only correlation.
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Keyword(in English) Radon transform / autocorrelation / logarithm conversion / pattern matching / phase only correlation
Paper # CS2006-53,IE2006-121
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Committee CS
Conference Date 2006/12/7(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Expansion, Translation and Rotation-Invariant Feature Using Log Autocorrelation on Radon Transform Domain
Sub Title (in English)
Keyword(1) Radon transform
Keyword(2) autocorrelation
Keyword(3) logarithm conversion
Keyword(4) pattern matching
Keyword(5) phase only correlation
1st Author's Name Makoto HASEGAWA
1st Author's Affiliation School of Engineering, Kinki Univ.()
Date 2006-12-14
Paper # CS2006-53,IE2006-121
Volume (vol) vol.106
Number (no) 421
Page pp.pp.-
#Pages 6
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