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.
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Morillas, S., Gregori, V., Peris-Fajarnés, G., Latorre, P. (2005). A New Vector Median Filter Based on Fuzzy Metrics. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2005. Lecture Notes in Computer Science, vol 3656. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11559573_11
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DOI: https://doi.org/10.1007/11559573_11
Publisher Name: Springer, Berlin, Heidelberg
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