Threshold decomposition of soft morphological filters

Frank Y. Shih, Christopher C. Pu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Soft morphological filters are used for smoothing signals with the advantage of being less sensitive to additive noises and to small variations in the shape of the objects to be transformed as compared to standard morphological filters. In this paper, we present the properties of soft morphological operations and the new definitions of binary soft morphological operations. It is shown that soft morphological filtering an arbitrary signal is equivalent to decomposing the signal into binary signals, filtering each binary signal with a binary soft morphological filter, and then reversing the decomposition. This equivalence allows problems in the analysis and the implementation of soft morphological operations in real time by using only logic gates for binary signals instead of sorting numbers.

Original languageEnglish (US)
Title of host publicationIEEE Computer Vision and Pattern Recognition
Editors Anon
PublisherPubl by IEEE
Number of pages2
ISBN (Print)0818638826
StatePublished - 1993
EventProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - New York, NY, USA
Duration: Jun 15 1993Jun 18 1993

Publication series

NameIEEE Computer Vision and Pattern Recognition


OtherProceedings of the 1993 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityNew York, NY, USA

All Science Journal Classification (ASJC) codes

  • General Engineering


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