Unseeded Region Growing for 3D Image Segmentation

Lin, Z., Jin, J.S. and Talbot, H.

    Unseeded region growing is a versatile and fully automatic segmentation technique suitable for multispectral and 3D images. This approach integrates region-based segmentation with image processing techniques based on adaptive anisotropic diffusion filters. The segmentation method is fast, reliable and free of tuning parameters. It is indeed a general purpose segmentation method and has been successfully applied in a range of image analysis tasks. This paper describes the algorithm, and briefly discusses its properties and applications. Segmentation results will also be shown at the end of the paper.
Cite as: Lin, Z., Jin, J.S. and Talbot, H. (2001). Unseeded Region Growing for 3D Image Segmentation. In Proc. Selected papers from Pan-Sydney Area Workshop on Visual Information Processing (VIP2000), Sydney, Australia. CRPIT, 2. Eades, P. and Jin, J., Eds. ACS. 31-37.
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