Evaluation of spatial similarity methods for image retrievalEvaluation of spatial similarity methods for image retrieval Αφίσα σε Συνέδριο Conference Poster 2015-11-012000enSimilarity retrieval by spatial content (i.e., using multiple objects and their interelationships) in Image DataBases (IDBs) is still an open problem and has received considerable attention in the literature. In this work, we focus our attention on “queries by example” image and we study methods for answering such queries including the well accepted “editing distance” on Attributed Relational Graphs (ARGs) and the “Hungarian Method” for graph matching. We evaluate the time responses and the accuracy of these methods using a database of synthetic by realistic medical images. Our experiments indicate that the ARG editing distance, although the slowest, is the most accurate method.http://creativecommons.org/licenses/by/4.0/13-18Signal Processing, Communications and Computer Science Petrakis Evripidis Πετρακης Ευριπιδης Kostas Georgiadis