Title :
The extension to probability distributions for detection spatial filters
Author :
Montgomery, W.D.
fDate :
1/1/1964 12:00:00 AM
Abstract :
The idea of extending partial descriptions to a probability density function on a minimum information (maximum entropy) basis is applied in the context of detection spatial filters, i.e., filters with two-dimensional input and output used for detection. Several two-dimensional moment descriptions are thus extended and worked out in detail.
Keywords :
Filtering; Image processing; Probability functions; Signal detection; Additive noise; Density functional theory; Entropy; Filtering theory; Information filtering; Information filters; Maximum likelihood detection; Probability density function; Probability distribution; Spatial filters;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1964.1053632
