(2021-10-01) Rey, Andrea; Caballero, Gisela; Arce, Andrea
Graph theory provides a set of resources and tools for the representation and solution of problems arisen
in several areas. In image analysis, each pixel is considered as the vertex of a graph, assigning a weight to
each edge that describes certain relationship, such as the similarity of gray levels. In this work, measures of
the graph associated to an image are computed, with the aim of analyzing the growth of a region of interest through time. Experiments are designed for different expansion schemes, both controlled and random.
The results obtained show a strong correlation for some measures.
