2013 | OriginalPaper | Buchkapitel
Classified-Distance Based Shape Descriptor for Application to Image Retrieval
verfasst von : Jinhee Chun, Natsuda Kaothanthong, Takeshi Tokuyama
Erschienen in: Computer Analysis of Images and Patterns
Verlag: Springer Berlin Heidelberg
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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.