Stack filters: theory and applications

Author

Yoo, J. ; Fong, K.L. ; Adams, G.B., III ; Coyle, E.J.

Author_Institution

Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

1006

Abstract

Stack filters are a large class of nonlinear filters which obey a weak superposition property called the threshold decomposition and an ordering property called the stacking property. They contain such other well-known nonlinear filters as median filters, rank-order filters, weighted median filters, weighted order statistic filters, and increasing morphological filters with flat structuring elements. In this paper, the theory of MMAE stack filtering is reviewed, and a new, fast algorithm for adaptive stack filtering is introduced. Examples showing the output of optimal stack filters are provided

Keywords

adaptive filters; digital filters; filtering and prediction theory; image processing; mathematical morphology; parallel algorithms; MMAE stack filtering; adaptive stack filtering; fast algorithm; flat structuring elements; image processing; median filters; morphological filters; nonlinear filters; optimal stack filters; ordering property; parallel algorithm; rank-order filters; stack filters; stacking property; threshold decomposition; weak superposition property; weighted median filters; weighted order statistic filters; Adaptive algorithm; Adaptive filters; Boolean functions; Filtering algorithms; Filtering theory; Lattices; Nonlinear filters; Signal processing; Stacking; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342418

Filename

342418