A new vector median filter based on fuzzy metrics

  • Authors:

  • Samuel Morillas;Valentín Gregori;Guillermo Peris-Fajarnés;Pedro Latorre

  • Affiliations:

  • Departamento de Expresión Gráfica en, la Ingeniería, Universidad Politécnica de Valencia, E.P.S. de Gandia, Grao de Gandia (Valencia), Spain;Departamento Matemática Aplicada, Universidad Politécnica de Valencia, E.P.S. Gandia, Grao de Gandia (Valencia), Spain;Departamento de Expresión Gráfica en, la Ingeniería, Universidad Politécnica de Valencia, E.P.S. de Gandia, Grao de Gandia (Valencia), Spain;Departamento de Expresión Gráfica en, la Ingeniería, Universidad Politécnica de Valencia, E.P.S. de Gandia, Grao de Gandia (Valencia), Spain

  • Venue:
  • ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
  • Year:
  • 2005

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Abstract

Vector median filtering is a well known technique for reducing noise in color images. These filters are defined on the basis of a suitable distance or similarity measure, being the most common used the Euclidean and City-Block distances. In this paper, a Fuzzy Metric, in the sense of George and Veeramani (1994), is defined and applied to color image filtering by means of a new Vector Median Filter. It is shown that the standard Vector Median Filter is outperformed when using this Fuzzy Metric instead of the Euclidean and City-Block distances.