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Proceedings Paper

Variational approach to semi-automated 2D image segmentation
Author(s): Jaromír Kukal; Zuzana Krbcová; Iva Nachtigalová; Jan Švihlík; Karel Fliegel
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Paper Abstract

The segmentation of 2D biomedical images is very complex problem which has to be solved interactively. Original MRI, CT, PET, or SPECT image can be enhanced using variational smoother. However, there are Regions of Interest (ROI) which can be exactly localized. The question is how to design human interaction with computer for user friendly biomedical service. Our approach is based on user selected points which determine the ROI border line. The relationship between point positions and image intensity is subject of variational interpolation using thin plate spline model. The general principle of segmentation is demonstrated on biomedical images of human brain.

Paper Details

Date Published: 6 September 2019
PDF: 6 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111372H (6 September 2019);
Show Author Affiliations
Jaromír Kukal, Univ. of Chemistry and Technology Prague (Czech Republic)
Zuzana Krbcová, Univ. of Chemistry and Technology Prague (Czech Republic)
Iva Nachtigalová, Univ. of Chemistry and Technology Prague (Czech Republic)
Jan Švihlík, Univ. of Chemistry and Technology Prague (Czech Republic)
Czech Technical Univ. in Prague (Czech Republic)
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)


Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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