| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Broek, dr. Egon L. van den | |
| dc.contributor.author | Aalvanger, G.H. | |
| dc.date.accessioned | 2016-09-22T17:00:39Z | |
| dc.date.available | 2016-09-22T17:00:39Z | |
| dc.date.issued | 2015 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/24449 | |
| dc.description.abstract | The Fast Exact Euclidean Distance (FEED) transform is generalized to support intensity values and gray-scale images. The generalized FEED
(gFEED) class algorithms support both Euclidean and squared Euclidean distances. The algorithms are tested on datasets by Schouten and van
den Broek and on newly developed datasets. Tests show a O(m*n) time complexity on squared Euclidean distances and a O(m * n)(m+ n) time
complexity on Euclidean distances. | |
| dc.description.sponsorship | Utrecht University | |
| dc.format.extent | 422642 | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en | |
| dc.title | Generalized Distance Transforms using the FEED-class Algorithm | |
| dc.type.content | Honours Program Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.keywords | (Generalized) Distance transforms, (Squared) Euclidean distance, Sampled function, Fast Exact Euclidean Distance (FEED), linear, generalized FEED (gFEED) | |
| dc.subject.courseuu | Informatica | |
