| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Broek, Egon L, van den | |
| dc.contributor.author | Wal, S. van der | |
| dc.date.accessioned | 2016-10-03T17:00:34Z | |
| dc.date.available | 2016-10-03T17:00:34Z | |
| dc.date.issued | 2015 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/24507 | |
| dc.description.abstract | The Fast Exact Euclidean Distance transform (FEED) algorithm is extended
beyond two dimensions. 3D-FEED is introduced, followed by
nD-FEED. The nD-FEED algorithm uses the inverse approach from the
naive DT algorithms and works with exact euclidean distances. The timecomplexity
of nD-FEED is proven to be exponential in the amount of dimensions: | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 1128944 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | Multidimensional Distance Transforms using the
FEED-class Algorithm | |
| dc.type.content | Honours Program Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | n-dimensional distance transforms, Euclidean distance, FEED,
3D-FEED | |
| dc.subject.courseuu | Computing Science | |
