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Extraction of Blood Vessels Using Multilevel Thresholding with Color Coding

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Advanced Computer and Communication Engineering Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 362))

Abstract

The proposed work deals with the design of algorithm for segmentation of blood vessels in order to extract the geometrical features of analyzed vessels. The algorithm was tested on a sample of 25 clinical data to identify blood vessels direction and suppress surrounding tissues. The proposed methodology is effective for practical purposes, because identifies minor visual differences on the surface of blood vessels. These changes often represent pathological lesions that cannot be identified from the native data. The algorithm is based on the identification of several significant levels to make ideal thresholding, according to object features. For even better diagnostic results image background is subsequently filtered out from the segmented image, background may have a disturbing effect in the diagnosis and the final segmented image contains only analyzed blood vessels.

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Acknowledgments

The work and the contributions were supported by the project SP2015/179 ‘Biomedicínské inženýrské systémy XI’ and This work is partially supported by the Science and Research Fund 2014 of the Moravia-Silesian Region, Czech Republic and this paper has been elaborated in the framework of the project “Support research and development in the Moravian-Silesian Region 2014 DT 1—Research Teams” (RRC/07/2014). Financed from the budget of the Moravian-Silesian Region. 

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Authors and Affiliations

  1. VSB–Technical University of Ostrava, FEI, K450, 17. Listopadu 15, 70833, Ostrava–Poruba, Czech Republic

    Jan Kubicek, Jan Valosek, Marek Penhaker, Iveta Bryjova & Jan Grepl

Authors
  1. Jan Kubicek
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  2. Jan Valosek
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  3. Marek Penhaker
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  4. Iveta Bryjova
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  5. Jan Grepl
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Corresponding author

Correspondence to Jan Kubicek .

Editor information

Editors and Affiliations

  1. Universiti Teknikal Malaysia Melaka , Melaka, Malaysia

    Hamzah Asyrani Sulaiman

  2. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Mohd Azlishah Othman

  3. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Mohd Fairuz Iskandar Othman

  4. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Yahaya Abd Rahim

  5. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia

    Naim Che Pee

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Kubicek, J., Valosek, J., Penhaker, M., Bryjova, I., Grepl, J. (2016). Extraction of Blood Vessels Using Multilevel Thresholding with Color Coding. In: Sulaiman, H., Othman, M., Othman, M., Rahim, Y., Pee, N. (eds) Advanced Computer and Communication Engineering Technology. Lecture Notes in Electrical Engineering, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-319-24584-3_33

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  • DOI: https://doi.org/10.1007/978-3-319-24584-3_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24582-9

  • Online ISBN: 978-3-319-24584-3

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