چكيده به لاتين
In this paper, we propose a novel method for construction of a distance function
and demonstrate its application in image segmentation. In algorithms for image
segmentation, distance functions represent a criterion which divides pixels into
groups of segments. We introduce two extended aggregation functions, extended
powers product and extended weighted arithmetic mean of powers. Their relevant
properties are examined, as well as certain resulting properties of distance
functions, which are constructed by an application of mentioned aggregation
functions. In addition, one pixel descriptor, which is motivated by Local Binary
Pattern family of descriptors (LBPs), is introduced and discussed. In the
experimental section, we present an application of the introduced extended aggregation
functions and descriptor, by a construction of a new distance function,
used in Fuzzy c-Means Clustering Algorithm (FCM) for image segmentation.
