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Structure of organic compounds semantic quantitative evaluation of micro-CT data

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Abstract

Quantitative analysis of histology slides can bring unique knowledge about the investigated sample. Unfortunately this is time consuming procedure. In this paper we suggest method to overcome this disadvantage. However, everything has its price. Semi-automatic evaluation cannot beat human operator by its precision, but it is able to process big amount of data in short time. In some fields it can be useful property.

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Authors and Affiliations

  1. New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia, Univerzitni 8, 306 14, Pilsen, Czech Republic

    M. Jirik & M. Zelezny

  2. Department of Cybernetics, Faculty of Applied Sciences, University of West Bohemia, Univerzitni 8, 306 14, Pilsen, Czech Republic

    J. Kunes & M. Zelezny

Authors
  1. M. Jirik
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  2. J. Kunes
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  3. M. Zelezny
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Corresponding author

Correspondence to M. Jirik.

Additional information

This paper uses the materials of the report submitted at the 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, held in Koblenz, December 1–5, 2014 (OGRW-9-2014).

The article is published in the original.

Miroslav Jirik. Was born in Klatovy, Czech Republic in 1984. He received his Bc. and Ing. (similar to M.S.) degrees in cybernetics from the University of West Bohemia, Pilsen, Czech Republic (UWB), in 2006 and 2008 respectively. As a Ph.D. candidate at the Department of Cybernetics, UWB his main research interests include computer vision, machine learning, medical imaging, image segmentation, texture analysis. He is a teaching assistant at the Department of Cybernetics, UWB.

Jiri Kunes. Was born in Planá, Czech Republic, 1993. He is a student in the Bachelor’s program focused on cybernetics and digital data processing at the University of West Bohemia, Plzen, Czech Republic (UWB).

Milos Zelezny. Was born in Plze, Czech Republic, in 1971. He received his Ing. (=M.S.) and Ph.D. degrees in Cybernetics from the University of West Bohemia, Plzen, Czech Republic (UWB) in 1994 and in 2002 respectively. He is currently a lecturer at the UWB. He has been delivering lectures on Digital Image Processing, Structural Pattern Recognition and Remote Sensing since 1996 at UWB. He is working in projects on multimodal speech interfaces (audio-visual speech, gestures, emotions, sign language). He is a member of ISCA, AVISA, and CPRS societies. He is a reviewer of the INTERSPEECH conference series.

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Jirik, M., Kunes, J. & Zelezny, M. Structure of organic compounds semantic quantitative evaluation of micro-CT data. Pattern Recognit. Image Anal. 26, 144–149 (2016). https://doi.org/10.1134/S1054661816010119

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  • DOI: https://doi.org/10.1134/S1054661816010119

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