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Segmentation and supervised classification of image objects in Epo doping-control

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Abstract

A software system Gel Analysis System for Epo (GASepo) has been developed within an international WADA project. As recent WADA criteria of rEpo positivity are based on identification of each relevant object (band) in Epo images, development of suitable methods of image segmentation and object classification were needed for the GASepo system. In the paper we address two particular problems: segmentation of disrupted bands and classification of the segmented objects into three or two classes. A novel band projection operator is based on convenient object merging measures and their discrimination analysis using specifically generated training set of segmented objects. A weighted ranks classification method is proposed, which is new in the field of image classification. It is based on ranks of the values of a specific criterial function. The weighted ranks classifiers proposed in our paper have been evaluated on real samples of segmented objects of Epo images and compared to three selected well-known classifiers: Fisher linear classifier, Support Vector Machine, and Multilayer Perceptron.

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Authors and Affiliations

  1. Smart Systems Division, Austrian Research Centers GmbH—ARC, 2444, Seibersdorf, Austria

    Ivan Bajla

  2. Department of Theoretical Methods, Institute of Measurement Science, Slovak Academy of Sciences, Dúbravská cesta 9, 84101, Bratislava, Slovak Republic

    František Rublík, Barbora Arendacká, Igor Farkaš, Klára Hornišová, Svorad Štolc & Viktor Witkovský

  3. Department of Applied Informatics, Comenius University, Mlynská dolina, 84248, Bratislava, Slovak Republic

    Igor Farkaš

Authors
  1. Ivan Bajla
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  2. František Rublík
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  3. Barbora Arendacká
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  4. Igor Farkaš
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  5. Klára Hornišová
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  6. Svorad Štolc
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  7. Viktor Witkovský
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Corresponding author

Correspondence to Svorad Štolc.

Additional information

The results presented in the paper have been obtained within the project GASepo granted by World Anti-Doping Agency and supported by the Slovak Grant Agency for Science VEGA and by the Slovak Research and Development Agency APVV.

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Bajla, I., Rublík, F., Arendacká, B. et al. Segmentation and supervised classification of image objects in Epo doping-control. Machine Vision and Applications 20, 243–259 (2009). https://doi.org/10.1007/s00138-007-0120-0

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  • DOI: https://doi.org/10.1007/s00138-007-0120-0

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