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Proceedings Paper

Direct segmentation in 3D and its application to medical images
Author(s): Xiaohan Yu; Juha Yla-Jaaski; Outi Sipila; Toivo E. Katila
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Paper Abstract

In this paper a new algorithm for direct 3D segmentation is presented. The algorithm combines region growing, edge detection and a new edge preserving smoothing method. The combined method helps to avoid characteristic segmentation errors which occur when using region growing or edge detection separately. Boundary modification is also introduced to overcome noise in the boundary location and ensure more realistic region boundaries. The algorithm has been validated through application to medical image visualization.

Paper Details

Date Published: 14 September 1993
PDF: 6 pages
Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); doi: 10.1117/12.154503
Show Author Affiliations
Xiaohan Yu, Technical Research Ctr. of Finland (Finland)
Juha Yla-Jaaski, Technical Research Ctr. of Finland (Finland)
Outi Sipila, Helsinki Univ. of Technology (Finland)
Toivo E. Katila, Helsinki Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 1898:
Medical Imaging 1993: Image Processing
Murray H. Loew, Editor(s)

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