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A fast component-tree algorithm for high dynamic-range images and second generation connectivity

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1 Author(s)
Wilkinson, M.H.F. ; Johann Bernoulli Inst. of Math. & Comput. Sci., Univ. of Groningen, Groningen, Netherlands

Component trees are important data structures for computation of connected attribute filters. Though some of the available algorithms are suitable for high-dynamic range, and in particular floating point data, none are suitable for computation of component trees for so-called second-generation, and mask-based connectivity. The latter allow generalization of the traditional notion of connected components, to allow considering e.g. a star cluster as a single entity. This paper provides an O(N log N) algorithm for component trees, suitable for standard and mask-based connectivity. At 24 bits per pixel, the new algorithm outperforms the existing by a factor of 20 to 77 in cpu-time, on 3 megapixel images, depending on the image content.

Published in:

Image Processing (ICIP), 2011 18th IEEE International Conference on

Date of Conference:

11-14 Sept. 2011

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