Fault detection in stack filter circuits based on sample selection probabilities

Author

Ben Dhaou, Imed ; Akopian, David ; Kuosmanen, Pauli ; Astola, Jaakko

Author_Institution

Signal Process. Lab., Tampere Univ. of Technol., Finland

Volume

1

fYear

1996

fDate

16-19 Sep 1996

Firstpage

765

Abstract

Many of the signal and image processing problems concern the suppression of the noise which is non-Gaussian and non-additive. Stack filters are nonlinear filters which are often successfully used for this kind of noise cancellation. A fault detection method is proposed for stack filters. The core of the method is the sample selection probability vectors of stack filters. A simple implementation for fault diagnosis is derived based on this notion

Keywords

fault diagnosis; filtering theory; image sampling; noise; nonlinear filters; probability; Gaussian field images; fault detection; fault detection method; fault diagnosis; image filtering; image processing; noise cancellation; noise suppression; nonGaussian noise; nonadditive noise; nonlinear filters; sample selection probability vectors; signal processing; Additive noise; Boolean functions; Circuit faults; Electrical fault detection; Error correction; Fault detection; Fault diagnosis; Filters; Noise cancellation; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.559611

Filename

559611