TY - CHAP TI - Structural graph extraction from images AU - Gallego, Antonio-Javier AU - Calera Rubio, Jorge AU - López Rodríguez, Damián DA - 2012 UR - http://hdl.handle.net/10045/23422 AB - 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. KW - Graph KW - Image representation KW - Graph extraction KW - Information representation DO - 10.1007/978-3-642-28765-7_86 SN - 1867-5662 (Print) SN - 978-3-642-28764-0 PB - Springer Berlin / Heidelberg ER -