Unseeded region growing for 3D image segmentation

Authors:
Zheng Lin;Jesse Jin;Hugues Talbot
Affiliations:
University of New South Wales, Sydney 2052;University of New South Wales, Sydney 2052;CSIRO Mathematical and Information Sciences, Locked Bag 17, North Ryde 1670, New South Wales
Venue:
VIP '00 Selected papers from the Pan-Sydney workshop on Visualisation - Volume 2
Year:
2000

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Abstract

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