Abstract
The paper addresses the issue of searching for similar images in an information repository. The contained images are annotated with the help of sparse descriptors. In the presented research different color and edge histogram descriptors were used. To measure distances among images the sets of their descriptors are compared. For this purpose different similarity measures were employed. Results of these experiments, as well as discussion of the advantages and limitations of different combinations of methods for retrieval of similar images are presented.
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Frączek, R., Cyganek, B. (2012). Evaluation of Image Descriptors for Retrieval of Similar Images. In: Bembenik, R., Skonieczny, L., Rybiński, H., Niezgodka, M. (eds) Intelligent Tools for Building a Scientific Information Platform. Studies in Computational Intelligence, vol 390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24809-2_13
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DOI: https://doi.org/10.1007/978-3-642-24809-2_13
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