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.
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© 1999 Springer-Verlag Berlin Heidelberg
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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
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DOI: https://doi.org/10.1007/3-540-48762-X_79
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