Abstract
This paper reports on a first implementation of a webservice that supports image-based queries within the domain of tree taxonomy. As such, it serves as an example relevant to many other possible applications within the field of biodiversity and photo-identification. Without any human intervention matching results are produced through a chain of computer vision and image processing techniques, including segmentation and automatic shape matching. A selection of shape features is described and the architecture of the webservice is explained. Classification techniques are presented and preliminary results shown with respect to the success rate. Necessary future enhancements are discussed. Benefits are highlighted that could result from redesigning image-based expert systems as web services, open to the public at large.
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de Zeeuw, P.M., Ranguelova, E., Pauwels, E.J. (2007). Towards an Online Image-Based Tree Taxonomy. In: Perner, P. (eds) Advances in Data Mining. Theoretical Aspects and Applications. ICDM 2007. Lecture Notes in Computer Science(), vol 4597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73435-2_23
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DOI: https://doi.org/10.1007/978-3-540-73435-2_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73434-5
Online ISBN: 978-3-540-73435-2
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