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Proceedings Paper

The investigation of the Fourier spectrum-based image complexity metrics for recognition applications
Author(s): Veacheslav Perju; David Casasent
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Paper Abstract

It is described a new image complexity informative feature, based on the input image Fourier spectrum calculation. There are presented the results of the experimental estimation of the proposed image complexity matrix. There are presented the results of the investigation of the influence of the image complexity on the required image resolution and of the influence of the image resolution and complexity on the correlation recognition.

Paper Details

Date Published: 23 April 2012
PDF: 10 pages
Proc. SPIE 8398, Optical Pattern Recognition XXIII, 83980O (23 April 2012); doi: 10.1117/12.919155
Show Author Affiliations
Veacheslav Perju, National Council for Accreditation and Attestation (Moldova)
David Casasent, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 8398:
Optical Pattern Recognition XXIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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