Integrando Recuperação de Imagens por Conteúdo ao Sistema SBIM (Integrating Content-Based Image Retrieval into SBIM System)

Douglas Natan Meireles Cardoso (douglasmeireles@gmail.com)1, Gilson Antonio Giraldi (gilson@lncc.br)2, Luiz Antonio Pereira Neves (lapneves@gmail.com)3


1Pontifical Catholic University of Paraná
2National Laboratory of Scientific Computing
3Federal University of Paraná

This paper appears in: Revista IEEE América Latina

Publication Date: Aug. 2015
Volume: 13,   Issue: 8 
ISSN: 1548-0992


Abstract:
In this paper we extend the Shared Biological Image Manager (SBIM) system by incorporating a content-based image retrieval (CBIR) technique using machine learning concepts. For the classification it was applied a multiclass support vector machine (SVM) schema. Given a query image, the SVM approach performs its classification and the Euclidean distance is used to compute the similarity between the query and the images in the same class. The computational experiments show satisfactory classification accuracy and suitable retrieval results. Besides, the new SBIM was validated using integration tests which show that the methods implemented attend the proposed functionalities.

Index Terms:
CBIR, SVM, SBIM, Web system   


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