Estimating the image area with unknown parameters of the image and background

The characteristics of quasi-likelihood and maximum-likelihood estimates of the image area are obtained in the case when the regular components and intensities of the image and applicative background are unknown. The influence of the prior uncertainty in these parameters on the accuracy of estimatin...

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Bibliographic Details
Published in:	Journal of communications technology & electronics Vol. 60; no. 8; pp. 852 - 859
Main Authors:	Trifonov, A. P., Pribytkov, Yu. N., Chernoyarov, O. V., Mikhailov, B. B.
Format:	Journal Article
Language:	English
Published:	Moscow Pleiades Publishing 01-08-2015 Springer Springer Nature B.V
Subjects:	Algorithms Analysis Communication research Communications Engineering Decision theory Electronics Engineering Estimates Estimating Image processing systems Markov analysis Measurement techniques Networks Noise Radiation Radiation, Background Statistical Radiophysics Studies Uncertainty United States > US Area Estimation Image Intensity Background Intensity Image Area Background Area
Online Access:	Get full text
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Summary:	The characteristics of quasi-likelihood and maximum-likelihood estimates of the image area are obtained in the case when the regular components and intensities of the image and applicative background are unknown. The influence of the prior uncertainty in these parameters on the accuracy of estimating the area is analyzed.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1064-2269 1555-6557
DOI:	10.1134/S1064226915080185