Vector dual morphological operators

Tao Lei, Yan Ning Zhang, Yang Yu Fan, Xiao Peng Wang, Lü Cheng Wang

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Duality is one of the most important properties of morphological operators,and it has important applications in image processing.Since the existing vector morphological operators are unable to meet the duality,it is difficult to develop vector morphological theory and applications.In order to address the issue,we studied the properties of the existing vector morphological operators,and then found color spaces and vector ordering algorithms are two important factors which directly determine whether vector morphological operators are dual or not.In this paper,the symmetric color space and the symmetric vector distance are chosen and used to define the novel vector morphological operators with duality.Moreover,the novel vector morphological filters,gradient operators are also proposed and applied to color image corrupted by noise.Experimental results show that the proposed vector morphological operators can provide better results than the existing approaches for color image filtering and edge detection.

Original languageEnglish
Pages (from-to)1285-1293
Number of pages9
JournalTien Tzu Hsueh Pao/Acta Electronica Sinica
Volume44
Issue number6
DOIs
StatePublished - 1 Jun 2016

Keywords

  • Color image processing duality
  • Mathematical morphology
  • Vector morphological operators

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