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Weighted distance transforms for volume images digitized in elongated voxel grids
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2004 (English)In: Pattern Recognition Letters, Vol. 25, 571-580 p.Article in journal (Refereed) Published
Abstract [en]

Weighted distance transforms in volume (3D) images using a voxel grid with equal resolution along two axes

and lower, one, along the third are investigated. The weights (neighbour distances) in a local neighbourhoo

d of size 3 x 3 x 3 are optimized by minimizing the maximum error in a cubic image.

Place, publisher, year, edition, pages
2004. Vol. 25, 571-580 p.
Keyword [en]
Non-isotropic images, Chamfer distance, Medial axis
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-67396DOI: doi:10.1016/j.patrec.200312.006OAI: oai:DiVA.org:uu-67396DiVA: diva2:95307
Available from: 2005-05-23 Created: 2005-05-23 Last updated: 2011-01-12

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Sintorn, Ida-MariaBorgefors, Gunilla

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