Gallego, Antonio-Javier, Calera Rubio, Jorge, López Rodríguez, Damián
Structural graph extraction from images
GALLEGO-SÁNCHEZ, Antonio-Javier; CALERA-RUBIO, Jorge; LÓPEZ, Damián. "Structural graph extraction from images". En: Distributed Computing and Artificial Intelligence : 9th International Conference / Sigeru Omatu [et al.] (Eds.). Berlin : Springer, 2012. (Advances in Intelligent and Soft Computing; 151). ISBN 978-3-642-28764-0, pp. 717-724
URI: http://hdl.handle.net/10045/23422
DOI: 10.1007/978-3-642-28765-7_86
ISSN: 1867-5662 (Print)
ISBN: 978-3-642-28764-0
Abstract: 
We present three new algorithms to model images with graph primitives. Our main goal is to propose algorithms that could lead to a broader use of graphs, especially in pattern recognition tasks. The first method considers the q-tree representation and the neighbourhood of regions. We also propose a method which, given any region of a q-tree, finds its neighbour regions. The second algorithm reduces the image to a structural grid. This grid is postprocessed in order to obtain a directed acyclic graph. The last method takes into account the skeleton of an image to build the graph. It is a natural generalization of similar works on trees [8, 12]. Experiments show encouraging results and prove the usefulness of the proposed models in more advanced tasks, such as syntactic pattern recognition tasks.
Keywords:Graph, Image representation, Graph extraction, Information representation
Springer Berlin / Heidelberg
info:eu-repo/semantics/bookPart