Paper
14 September 1993 Direct segmentation in 3D and its application to medical images
Xiaohan Yu, Juha Yla-Jaaski, Outi Sipila, Toivo E. Katila
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaohan Yu, Juha Yla-Jaaski, Outi Sipila, and Toivo E. Katila "Direct segmentation in 3D and its application to medical images", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154503
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Medical imaging

Gaussian filters

3D image processing

Edge detection

Image filtering

Image processing algorithms and systems

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