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Proceedings Paper

The Interval Probability Density As A Tool For Image Classification
Author(s): M. P. Cagigal; C. Camara
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Paper Abstract

This work describes a statistical function , M(A) , obtained by averaging cross products of the time-spatial interval probability density.In some cases, as for example deterministic low light level signals, M(Li) contains the same information as the autocorrelation function with an important improvement of the SNR.T measurement of the MC can be applied in image classification in those cases which we have the value of g of the reference images.

Paper Details

Date Published: 2 March 1989
PDF: 4 pages
Proc. SPIE 1027, Image Processing II, (2 March 1989); doi: 10.1117/12.950282
Show Author Affiliations
M. P. Cagigal, Universidad de Cantabria (Spain)
C. Camara, Universidad de Cantabria (Spain)

Published in SPIE Proceedings Vol. 1027:
Image Processing II
Peter J.S. Hutzler; Andre J. Oosterlinck, Editor(s)

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