Interest Point Detection in Images by a Local Centrality Algorithm on Complex Networks
Year: 2011
Type: article
Abstract: The field of Digital Image Processing offers an interesting framework \nfor the application of the Complex Networks theory. Since images can be seen \nas organized data structures of adjacent pixels, it becomes natural to model and \nanalyze them using complex network properties. We present a local centrality \nalgorithm on a network with the aim detect the position and importance of interest \npoints (i.e. corners) in a digital image. An spatial and weighted complex network \nis associated to the image and a new method for locating these feature points \nbased on a local centrality measure of the corresponding network, is proposed.
Authors: Regino Criado, Miguel Romance, Ángel Sánchez
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2146857532