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Ιδρυματικό Αποθετήριο [SANDBOX]
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| URI | http://purl.tuc.gr/dl/dias/C3C066FA-3D37-4598-BEDF-AFB5C2235E2A | - |
| Αναγνωριστικό | http://www.intelligence.tuc.gr/~petrakis/publications/pege00.pdf | - |
| Γλώσσα | en | - |
| Τίτλος | Evaluation of spatial similarity methods for image retrieval | en |
| Δημιουργός | Petrakis Evripidis | en |
| Δημιουργός | Πετρακης Ευριπιδης | el |
| Δημιουργός | Kostas Georgiadis | en |
| Περίληψη | Similarity 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. | en |
| Τύπος | Αφίσα σε Συνέδριο | el |
| Τύπος | Conference Poster | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-01 | - |
| Ημερομηνία Δημοσίευσης | 2000 | - |
| Βιβλιογραφική Αναφορά | Euripides Petrakis and Kostas Georgiadis. (2000, Sept.). Evaluation of Spatial Similarity Methods for Image Retrieval. Presented at Signal Processing, Communications and Computer Science (CSCC' 2000). [Online].Available: http://www.intelligence.tuc.gr/~petrakis/publications/pege00.pdf | en |
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