Abstract
We propose a method to improve the quality and the query time of shape-based image retrieval. We define a novel and an accurate shape descriptor named Distance Interior Ratio (DIR) that is invariant to rigid motion and scaling. The DIR of shapes can also be stored in an efficient search structure. Our experimental result shows a higher retrieval rate and efficient query time.
This work was supported by Grand-in-Aid for Scientific Reserch (C) 25330002, Grants-in-Aid for JSPS fellows 247851, and Scientific Research on Innovative Areas 24106007.
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Chun, J., Kaothanthong, N., Tokuyama, T. (2013). Classified-Distance Based Shape Descriptor for Application to Image Retrieval. In: Wilson, R., Hancock, E., Bors, A., Smith, W. (eds) Computer Analysis of Images and Patterns. CAIP 2013. Lecture Notes in Computer Science, vol 8048. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40246-3_1
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DOI: https://doi.org/10.1007/978-3-642-40246-3_1
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