2 March 1989 The Interval Probability Density As A Tool For Image Classification
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Proceedings Volume 1027, Image Processing II; (1989); doi: 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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. P. Cagigal, C. Camara, "The Interval Probability Density As A Tool For Image Classification", Proc. SPIE 1027, Image Processing II, (2 March 1989); doi: 10.1117/12.950282; https://doi.org/10.1117/12.950282
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KEYWORDS
Image classification

Signal to noise ratio

Image processing

Correlation function

Probability theory

Scene classification

Time metrology

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