A Similarity Calculus for Comparing Qualitative Shape Descriptions

Authors:
Zoe Falomir;Jon Almazán;Jorge Grande;Lledó Museros;M. Teresa Escrig
Affiliations:
Universitat Jaume I, Engineering and Computer Science Department;Universitat Jaume I, Engineering and Computer Science Department;Universitat Jaume I, Engineering and Computer Science Department;Universitat Jaume I, Engineering and Computer Science Department;Universitat Jaume I, Engineering and Computer Science Department
Venue:
Proceedings of the 2009 conference on Artificial Intelligence Research and Development: Proceedings of the 12th International Conference of the Catalan Association for Artificial Intelligence
Year:
2009

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Abstract

An approach for comparing qualitative descriptions of shape of objects is presented in this paper. A similarity factor between shapes is determined as the number of operations required for transforming one shape into another. The possible transformational operations are defined by conceptual neighbourhood diagrams (CND). Our approach has been tested using images from the MPEG-7 CE-Shape-1 library and results show that our similarity calculus is invariant to translations, rotations and dilations and that the values obtained are coherent from the point of view of human perception.