Vector mathematical morphological operators based on fuzzy extremum estimation

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12 Scopus citations

Abstract

Two fundamental problems in vector extremum estimation based on lexicographical ordering are investigated in this paper. The first problem is the choice of the optimal marginal components applying to lexicographical ordering. And the second is that the lexicographical ordering only depends on the first component which leads to the followed components taking no effect. To solve the two problems, three novel marginal components are presented by means of the quaternion description of a color image. Moreover, a new fuzzy extremum estimation algorithm (FEEA) is also proposed and applied to vector ordering. Comparing with the existing solutions, experimental results show that the proposed FEEA has better effect on vector extremum estimation, and the presented frame of vector mathematical morphology can be used to process color image and provide better result.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PublisherIEEE Computer Society
Pages3031-3034
Number of pages4
ISBN (Print)9781479923410
DOIs
StatePublished - 2013
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 15 Sep 201318 Sep 2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period15/09/1318/09/13

Keywords

  • color image processing
  • lexicographical ordering
  • quaternion decomposition
  • vector mathematical morphology

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