Abstract
Current technology allows the acquisition, transmission, storing, and manipulation of large collections of images. A way to achieve this goal is the automatic computation of features such as color, texture, shape, and position of objects within images, and the use of the features as query terms.
In this paper we describe some results of a study on similarity evaluation in image retrieval using shape, texture, color and object orientation and relative position as content features. A simple system is also introduced that computes the feature descriptors and performs queries.
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© 2003 Springer-Verlag Berlin Heidelberg
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ChoraĆ, R.S. (2003). Content-Based Retrieval Using Color, Texture, and Shape Information. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24586-5_76
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DOI: https://doi.org/10.1007/978-3-540-24586-5_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20590-6
Online ISBN: 978-3-540-24586-5
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