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Color Image Texture Indexing

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Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

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Abstract

The use of the image color information beyond color histograms has been limited for image retrieval. A reason is the lack of an accepted core basic color operation set on color images. With the grown interest in image retrieval applied to color images, new operators have been recently developed, having interesting properties. Opening distributions on images based on granulometries constitute an extremely useful tool in morphological tasks. Efficient techniques have been proposed for binary and grayscale images using linear openings. The present study extends the granulometry concept for color images. In addition, it addresses the development of a new morphological approach grounded on particle size distributions for color images and their use as an additional textural information to build queries over an image database.

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Author information

Authors and Affiliations

  1. Intelligent Sensory Information Systems, University of Amsterdam - Faculty WINS, Kruislaan, 403, 1098 SJ, Amsterdam, The Netherlands

    Niels Nes & Marcos Cordeiro d’Ornellas

Authors
  1. Niels Nes
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  2. Marcos Cordeiro d’Ornellas
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Editor information

Editors and Affiliations

  1. Computer Science Department, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Dionysius P. Huijsmans

  2. Research Institute Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Arnold W. M. Smeulders

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© 1999 Springer-Verlag Berlin Heidelberg

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Nes, N., d’Ornellas, M.C. (1999). Color Image Texture Indexing. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_58

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  • DOI: https://doi.org/10.1007/3-540-48762-X_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

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