Abstract
Content based image retrieval using spatial image content (i.e. using multiple regions and their spatial relationships) is still an open problem which has received considerable attention in literature. In this paper we introduce a new representation of image based on the most general spatial image content representation that is Attributed Relation Graphs (ARG) representation and also a new method of image indexation. Like all CBIR systems, the one proposed here has two components: a segmentation component and a matching component using a novel inexact graph matching algorithm. We tested our work in lettrines image but it’s also valid in general image.
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Karray, A., Ogier, JM., Kanoun, S., Alimi, M.A. (2008). An Ancient Graphic Documents Indexing Method Based on Spatial Similarity. In: Liu, W., Lladós, J., Ogier, JM. (eds) Graphics Recognition. Recent Advances and New Opportunities. GREC 2007. Lecture Notes in Computer Science, vol 5046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88188-9_13
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DOI: https://doi.org/10.1007/978-3-540-88188-9_13
Publisher Name: Springer, Berlin, Heidelberg
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