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A decomposition scheme for 3D fuzzy objects based on fuzzy distance information
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2007 (English)In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 28, no 2, 224-232 p.Article in journal (Refereed) Published
Abstract [en]

A decomposition scheme for 3D fuzzy objects is presented. The decomposition is guided by a fuzzy distance transform (FDT) of the fuzzy object and aims to decompose the fuzzy object into simpler parts. Relevant voxels, corresponding to the “centres” of the parts, are detected on the FDT and suitably grouped, using a hierarchical clustering technique, into significant seeds for the decomposition. A region growing process is then applied to the seeds. The region growing process makes use of the reverse fuzzy distance transform, which is introduced in this manuscript. The decomposition scheme is illustrated using real data from different applications of which one, namely the identification of the three parts of the Immunoglobulin G antibody imaged using cryo electron tomography, is described more in detail.

Place, publisher, year, edition, pages
2007. Vol. 28, no 2, 224-232 p.
Keyword [en]
Fuzzy shape analysis, Fuzzy (reverse) distance transform, Hierarchical clustering, Cryo electron tomography, Immunoglobulin G
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-21204DOI: 10.1016/j.patrec.2006.07.007ISI: 000242780800006OAI: oai:DiVA.org:uu-21204DiVA: diva2:48977
Available from: 2006-12-15 Created: 2006-12-15 Last updated: 2017-12-08Bibliographically approved

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Svensson, Stina

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