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Machine Vision and Applications

, Volume 7, Issue 2, pp 115–122 | Cite as

Fast segmentation of range images into planar regions by scan line grouping

  • Xiaoyi Jiang
  • Horst Bunke
Short Communication

Abstract

A novel technique is presented for rapid partitioning of surfaces in range images into planar patches. The method extends and improves Pavlidis' algorithm (1976), proposed for segmenting images from electron microscopes. The new method is based on region growing where the segmentation primitives are scan line grouping features instead of individual pixels. We use a noise variance estimation to automatically set thresholds so that the algorithm can adapt to the noise conditions of different range images. The proposed algorithm has been tested on real range images acquired by two different range sensors. Experimental results show that the proposed algorithm is fast and robust.

Key words

Algorithm Range data Segmentation Region growing Planar surfaces 

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Copyright information

© Springer-Verlag 1994

Authors and Affiliations

  • Xiaoyi Jiang
    • 1
  • Horst Bunke
    • 1
  1. 1.Institute of Informatics and Applied MathematicsUniversity of BerneBerneSwitzerland

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