Original scientific paper

3D Surface Analysis and Classification in Neuroimaging Segmentation

Martin Žagar
Hrvoje Mlinarić
Josip Knezović

Abstract

This work emphasizes new algorithms for 3D edge and corner detection used in surface extraction and new concept of
image segmentation in neuroimaging based on multidimensional shape analysis and classification. We propose using of
NifTI standard for describing input data which enables interoperability and enhancement of existing computing tools
used widely in neuroimaging research. In methods section we present our newly developed algorithm for 3D edge and
corner detection, together with the algorithm for estimating local 3D shape. Surface of estimated shape is analyzed and
segmented according to kernel shapes.

Keywords

NIfTI; shape estimation; Canny detector; surface extraction; neuroimage segmentation

Hrčak ID:

69133

URI

https://hrcak.srce.hr/69133

Publication date:

24.6.2011.

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