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Morphological attribute filtering and visualization with 3-D alpha-partition trees

Kattouw, R. J. (2011) Morphological attribute filtering and visualization with 3-D alpha-partition trees. Bachelor's Thesis, Computing Science.

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Abstract

The salience tree is a data structure representing an image at multiple levels of detail. It was originally designed as a faster alternative to the binary partition tree, and used for object recognition in 2-D images. I have extended the salience tree to operate on 3-D volumes, and used it for morphological attribute filtering and visualization. Comparing the salience tree to the max-tree, a data tructure often used in this field, it appears that while the salience tree does not suffer from some of the max-tree's theoretical defects, it does not perform adequately in realistic cases where these defects are not a factor.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Computing Science
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 07:46
Last Modified: 15 Feb 2018 07:46
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/9689

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