The Interval Probability Density As A Tool For Image Classification

M. P. Cagigal; C. Camara

doi:10.1117/12.950282

2 March 1989 The Interval Probability Density As A Tool For Image Classification

M. P. Cagigal, C. Camara

Proceedings Volume 1027, Image Processing II; (1989) https://doi.org/10.1117/12.950282
Event: 1988 International Congress on Optical Science and Engineering, 1988, Hamburg, Germany

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.

Citation Download Citation

M. P. Cagigal and C. Camara "The Interval Probability Density As A Tool For Image Classification", Proc. SPIE 1027, Image Processing II, (2 March 1989); https://doi.org/10.1117/12.950282

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