Το έργο με τίτλο ImageMap: an image indexing method based on spatial similarity από τον/τους δημιουργό/ούς Petrakis Evripidis, Lin, K.-I., Faloutsos, C διατίθεται με την άδεια Creative Commons Αναφορά Δημιουργού 4.0 Διεθνές
Βιβλιογραφική Αναφορά
Euripides G.M. Petrakis, Christos Faloutsos and King-Ip Lin: "ImageMap: An Image Indexing Method Based on Spatial Similarity", IEEE Transactions on Knowledge and Data Engineering, Vol. 14, no. 5, pp. 979-987, Sept./Oct 2002. DOI:
10.1109/TKDE.2002.1033768
https://doi.org/10.1109/TKDE.2002.1033768
We introduce ImageMap, as a method for indexing and similarity searching in image databases (IDBs). ImageMap answers "queries by example" involving any number of objects or regions and taking into account their interrelationships. We adopt the most general image content representation, that is, Attributed Relational Graphs (ARGs), in conjunction with the well-accepted ARG editing distance on ARGs. We tested ImageMap on real and realistic medical images. Our method not only provides for visualization of the data set, clustering and data mining, but it also achieves up to 1,000-fold speed-up in search over sequential scanning, with zero or very few false dismissals.