Summary
In this paper we present a method which will facilitate the comparison of results obtained using algorithms proposed for the problem of detecting tracks in spectrograms. There is no standard test database which is carefully tailored to test different aspects of an algorithm. This naturally hinders the ability to perform comparisons between a developing algorithm and those which exist in the literature. The method presented in this paper will allow a developer to present, in a graphical way, information regarding the data on which they test their algorithm while not disclosing proprietary information.
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Lampert, T.A., O’Keefe, S.E.M. (2009). A Comparison Framework for Spectrogram Track Detection Algorithms. In: Kurzynski, M., Wozniak, M. (eds) Computer Recognition Systems 3. Advances in Intelligent and Soft Computing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93905-4_15
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DOI: https://doi.org/10.1007/978-3-540-93905-4_15
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