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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. |
(from crpit.com)
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