Title :
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
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;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.559611
