Recognition of Botanical Bloom Characteristics from Visual Features. (bibtex)
@InProceedings{Lang2007, author = {Lang, Margit and Kosch, Harald and Stars, S and Kettner, Cartsten and Lachner, Janine and Oborny, Doris}, booktitle = {Proceedings of the 8th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2007)}, title = {Recognition of Botanical Bloom Characteristics from Visual Features.}, year = {2007}, address = {Los Alamitos, CA, USA}, editor = {Kompatsiaris, Y and Avrithis, Y}, month = jun, pages = {27-27}, publisher = {IEEE}, abstract = {There is a number of image retrieval systems which allow a fast similarity search in large image databases. But to our knowledge there are no image retrieval systems which bring together information extraction from the image as well as object recognition and classification of the object analyzed. This paper introduces techniques to enable the extraction of botanical characteristics from visual features to support semi-automatic plant recognition. The identification of plants requires recognition and determination of plant species specific features such as bloom colour, inflorescences, shape of blooms, number of petals and shape of leaves. Our approach is to improve an existing medicinal plant database, called MedPhyt, by this basic requirement. We demonstrate the first steps towards a semiautomatic system for the identification of a plant species or at least plant families by the combination of both bloom colour and contour information under consideration of a specific content and knowledge domain using the features of MPEG-7.}, issn = {076952818X}, language = {EN}, talktype = {none} }
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