Using the Median Distance to Compare Object Shapes in Content-BasedImage Retrieval

Authors:
Giancarlo Iannizzotto;Antonio Puliafito;Lorenzo Vita
Affiliations:
Dipartimento di Matematica, University of Messina, C.da Papardo, Salita Sperone, 98166 Messina, Italy. ianni@ingegneria.unime.it;Istituto di Informatica, University of Catania, Viale A. Doria 6, 95025 Catania, Italy. apolia@ingegneria.unime.it;Dipartimento di Matematica, University of Messina, C.da Papardo, Salita Sperone, 98166 Messina, Italy. vita@iit.unict.it
Venue:
Multimedia Tools and Applications
Year:
1999

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Abstract

Turning Angles (TAs) representation is considered one of the mostinteresting methods for representing object shapes in content-based imageretrieval systems. Nevertheless, the distance commonly used to measure thesimilarity between shapes represented by TAs, the Euclidean one, is generallytoo sensitive to small variations in shapes.In this paper we present a new distance between shapes represented by TA, namely the Median distance, specially devised to minimize the effects of small variations in shapes. Its analytical properties are discussed and experimental results are provided and compared with those obtained by applying traditional techniques based on Euclidean distance. The Median distance has been implemented in the Automatic Image Storage and Retrieval (AISR) system, which allows storage and content-based retrieval of 2D images.