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New measures of homogeneity for image processing: an application to fingerprint segmentation
Journal article   Peer reviewed

New measures of homogeneity for image processing: an application to fingerprint segmentation

A. Jurio, H. Bustince, M. Pagola, P. Couto and W. Pedrycz
Soft computing (Berlin, Germany), Vol.18(6), pp.1055-1066
01/06/2014

Abstract

Artificial Intelligence Computational Intelligence Control Engineering Mathematical Logic and Foundations Mechatronics Methodologies and Application Robotics
In this work, we axiomatically describe the concepts of total homogeneity and local homogeneity of a fuzzy set. We also present different construction methods by means of restricted equivalence functions, restricted dissimilarity functions and implication operators. We show that the most common homogeneity expressions can be obtained as particular cases of the constructions developed here. The usefulness of these functions is shown in segmentation of fingerprint images.

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