Paper
23 April 2012 The investigation of the Fourier spectrum-based image complexity metrics for recognition applications
Veacheslav Perju, David Casasent
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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.
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Veacheslav Perju and David Casasent "The investigation of the Fourier spectrum-based image complexity metrics for recognition applications", Proc. SPIE 8398, Optical Pattern Recognition XXIII, 83980O (23 April 2012); https://doi.org/10.1117/12.919155
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KEYWORDS
Image resolution

Image segmentation

Image processing

Image analysis

Fourier transforms

Correlation function

Object recognition

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