Skip to main content

FLORES: A JAVA Based Image Database for Ornamentals

  • Conference paper
  • First Online:
Visual Information and Information Systems (VISUAL 1999)

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

Included in the following conference series:

Abstract

Flores is a database system for finding and retrieving plant varieties with similar appearance. The system allows color-images to be segmented interactively using JAVA Applets. The alpha-channel of the image is thereby used for the segmentation result, i.e. it contains the object. The image with object mask is transferred to a server-system, which extracts information from the object in the image. The information can be color histograms or a set of size, shape, texture and color features. The set of features depends on the type of object, as indicated by the user. The histogram is binarized and, using fast algorithms, matched with the binarized database histograms. For the feature set, nearest neighbors are searched in a multi-dimensional features space using an SR-tree algorithm. The server returns information of the most similar objects, like similarity, color-image and object mask to the Applet.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Flickner, M, et al. Query by image content: the QBIC-system. IEEE Computer (1995) 23–32

    Google Scholar 

  2. Gong, Y. Intelligent image databases. Toward advanced image retrieval. Kluwer Academic Publishers. (1998).

    Google Scholar 

  3. Gupta, A., Jain, R. Visual Information Retrieval. Comm. of the ACM 40(5) (1997) 70–79.

    Article  Google Scholar 

  4. Katayama, N. Satoh, S. The SR-tree: an index structure for high-dimensional nearest neighbor queries. Proceedings of the ACM SIGMOD, Tucson Arizona (1997).

    Google Scholar 

  5. Ogle, V.E., Stonebraker, M. Chabot: retrieval from a relational database of images. IEEE Computer (1995) 40–48.

    Google Scholar 

  6. Scil-Image user manual. Version 1.4. TNO Institute of Applied Physics, Delft, NL (1997).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

van der Heijden, G., Polder, G., van Eck, J.W. (1999). FLORES: A JAVA Based Image Database for Ornamentals. 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_79

Download citation

  • DOI: https://doi.org/10.1007/3-540-48762-X_79

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics