Some New Similarity Measures for Histograms.
Dietrich Van der Weken, Mike Nachtegael, Etienne E. Kerre · Ghent University Academic Bibliography (Ghent University) · 2004
Similarity measures, originally introduced to express the degree of comparison between two fuzzy sets, can be applied in several ways to digital images. In [1–3] we have shown how similarity measures were used for the construction of image quality evaluation measures. In this paper we illustrate how fuzzy similarity measures can be useful for the comparison of histograms of digital images. We will show that similarity measures can be applied to two different types of histograms: normalized histograms and ordered normalized histograms.