Architecture for fuzzy morphological operations

Phillip A. Laplante, Divyendu Sinha

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

Abstract

A recent paper by Sinha and Dougherty established a rigorous morphological framework for images with fuzzy valued pixels. In particular, the erosion operation, which is fundamental to image filtration schemes, is cast in this setting. In this paper, a single instruction architecture will be presented for implementing the erosion operation for fuzzy valued images. It will also be shown that this architecture is sufficient for implementing the other basic fuzzy morphologic operations namely dilation, opening and closing.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages189-195
Number of pages7
ISBN (Print)0819410276
StatePublished - Jan 1 1993
EventIntelligent Robots and Computer Vision XI: Biological, Neural Net, and 3-D Methods - Boston, MA, USA
Duration: Nov 18 1992Nov 20 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1826
ISSN (Print)0277-786X

Other

OtherIntelligent Robots and Computer Vision XI: Biological, Neural Net, and 3-D Methods
CityBoston, MA, USA
Period11/18/9211/20/92

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Laplante, P. A., & Sinha, D. (1993). Architecture for fuzzy morphological operations. In Proceedings of SPIE - The International Society for Optical Engineering (pp. 189-195). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1826). Publ by Int Soc for Optical Engineering.