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Proceedings Paper

Simulation study for different moment sets
Author(s): Woogon Chung; Evangelia Micheli-Tzanakou
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Paper Abstract

Analysis of variance for coefficient of variation is performed under various noise levels and moment orders. As a measure for response stability for features in a pattern recognition system, the coefficient of variation is analyzed and compared among various moment sets, such as, the geometric moments, Legendre moments, complex moments, rotational moments and Zernike moments. A convenient definition for binary segmented images is introduced in order to quantify the level of the noise in the noisy patterns. Traditional two-way table data analysis is carried out to fit the nearly additively structured data and the analysis of variance is done on the fittings (row and column effects). A simple summary for the fittings is displayed by boxplots to show the distribution of effects due to the various noise levels and the moment orders. Among the different moment sets, the Zernike moments are shown to be optimal in the sense that Zernike moments are reliable features with the property of least varying response under various noise and orders.

Paper Details

Date Published: 23 March 1994
PDF: 12 pages
Proc. SPIE 2181, Document Recognition, (23 March 1994); doi: 10.1117/12.171127
Show Author Affiliations
Woogon Chung, Rutgers Univ. (United States)
Evangelia Micheli-Tzanakou, Rutgers Univ. (United States)


Published in SPIE Proceedings Vol. 2181:
Document Recognition
Luc M. Vincent; Theo Pavlidis, Editor(s)

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