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Wavelet domain binary partition trees for image segmentation

S. Ghanbari, and J. C. Woods, and H. R. Rabiee, and S. M. Lucas, (2008) Wavelet domain binary partition trees for image segmentation. In: 2008 International Workshop on Content-Based Multimedia Indexing, 2008-06-18 - 2008-06-20.

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Abstract

When performing segmentation using tree based representations it is evident that contiguous objects are often dispersed widely across the tree making controlled selection difficult. This paper demonstrates robust segmentation by the generation of binary partition trees entirely within the wavelet domain. By using spatial frequency in conjunction with colour, a threshold free tree is produced which compels objects to reside inside single branches of the tree by constraining their merging development. Experimental results show the superior performance of the proposed algorithm compared to the existing colour based BPT algorithms.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Notes: When performing segmentation using tree based representations it is evident that contiguous objects are often dispersed widely across the tree making controlled selection difficult. This paper demonstrates robust segmentation by the generation of binary partition trees entirely within the wavelet domain. By using spatial frequency in conjunction with colour, a threshold free tree is produced which compels objects to reside inside single branches of the tree by constraining their merging development. Experimental results show the superior performance of the proposed algorithm compared to the existing colour based BPT algorithms.
Uncontrolled Keywords: image colour analysis; image representation; image segmentation; trees (mathematics); wavelet transforms; spatial frequency; threshold free tree; tree based representations; wavelet domain binary partition trees; Aggregates; Animals; Frequency; Lighting; Merging; Partitioning algorithms; Pixel; Shadow mapping; Wavelet domain; Binary Partition Tree; Image-segmentation; Wavelet; quality measure
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 03 Oct 2012 09:49
Last Modified: 15 Jan 2022 00:45
URI: http://repository.essex.ac.uk/id/eprint/4009

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