Abstract
In this paper, a Web Application for Plant Species Identification (WAPSI) that incorporates content-based image retrieval (CBIR) is described. At the heart of this application is a shape-based leaf image retrieval system which uses a contour descriptor based on the curvature of the leaf contour which reduces the number of points for the shape representation. Futhermore, a two-step algorithm for retrieval is used which in the first step reduces the database using some geometrical features. Secondly, leaf images are ranked using a similarity measure between the contour representations. The similarity function between images uses a variant triangular membership function to calculate the distance between the characteristic points’ vectors. This membership function is the key of the good results obtained. The effectiveness for plant species identification of the method is shown through several experiments using our Web application.
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Caballero, C., Aranda, M.C. (2012). WAPSI: Web Application for Plant Species Identification Using Fuzzy Image Retrieval. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances on Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31709-5_26
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DOI: https://doi.org/10.1007/978-3-642-31709-5_26
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