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Proceedings Paper

Comparison of correlation peaks characteristics for scaled images recognition using MACE, GMACE and MINACE filters
Author(s): Petr A. Ivanov
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Paper Abstract

The paper presents the results of computer modeling of scaled images recognition using MACE, GMACE and MINACE invariant correlation filters. There is given data about testing of above mentioned filters on database of grayscale images with different resolution that contains only true class and both true class and false class objects. There presented data about output correlation peak qualitative and quantitative characteristics and about the comparison for different filter types. The filters were synthesized specially for case of such geometrical transform as change of scale. Also there is presented data about testing of mentioned filters for recognition of rotated images and given an analysis of results.

Paper Details

Date Published: 29 April 2013
PDF: 6 pages
Proc. SPIE 8748, Optical Pattern Recognition XXIV, 87480N (29 April 2013); doi: 10.1117/12.2015512
Show Author Affiliations
Petr A. Ivanov, Yaroslavl State Technical Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 8748:
Optical Pattern Recognition XXIV
David Casasent; Tien-Hsin Chao, Editor(s)

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