Abstract
An easy to compute and small colour feature vector is introduced in this paper, as a tool to be used in the process of retrieval or classification of similarly coloured digital images from very large databases. A particular set of “ab” planes from the LAB colour system is used, along with a specific configuration of colour regions within them. The colour feature vector is low dimensional (only 96 components), computationally economic and performs very well on a carefully selected database of rose images, publicly available.
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Ciobanu, A., Costin, M., Barbu, T. (2013). Image Categorization Based on Computationally Economic LAB Colour Features. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A., Dombi, J., Jain, L. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33941-7_51
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DOI: https://doi.org/10.1007/978-3-642-33941-7_51
Publisher Name: Springer, Berlin, Heidelberg
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