Some features of non-parametric algorithms application in the tasks of strong correlated 2D fields processing

Author

Grebenshchikov, Kliment D. ; Spector, Alexander A.

Author_Institution

Novosibirsk State Tech. Univ., Russia

fYear

2000

fDate

2000

Firstpage

124

Lastpage

130

Abstract

Numerous works are dedicated to non-parametric methods application in tasks of one-dimensional signal detection. Methods for the multi-dimensional case are considered only in the common setting of the task. With the development of processing an image which is a 2D signal, there is a need for detailed analysis of the behaviour of these methods behavior under new conditions. We consider a rank algorithm used for image brightness steps detection which is inherent to this category of detectors. The rank algorithm supposes processing of two samples: the operating sample and reference or noise sample

Keywords

Markov processes; decorrelation; image representation; multidimensional signal processing; 2D Markovian field; decorrelation; image brightness steps detection; image processing; image representation; noise sample; nonparametric algorithms application; operating sample; rank algorithm; strong correlated 2D fields processing; Books; Brightness; Decorrelation; Detectors; Gaussian distribution; Image analysis; Image edge detection; Signal analysis; Signal detection; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electron Devices and Materials, 2000. EDM 2000. Siberian Russian Student Workshops on

Conference_Location

Novosibirsk

Print_ISBN

5-7782-0291-1

Type

conf

DOI

10.1109/SREDM.2000.888601

Filename

888601