dc.contributor.author |
Butt, M |
en |
dc.contributor.author |
Maragos, P |
en |
dc.date.accessioned |
2014-03-01T01:46:51Z |
|
dc.date.available |
2014-03-01T01:46:51Z |
|
dc.date.issued |
1998 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/25070 |
|
dc.subject |
Approximation Error |
en |
dc.subject |
Distance Transform |
en |
dc.subject |
Euclidean Distance |
en |
dc.subject |
Image Analysis |
en |
dc.subject |
Indexing Terms |
en |
dc.subject |
Optimum Design |
en |
dc.title |
Optimum design of chamfer distance transforms |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1109/83.718487 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/83.718487 |
en |
heal.publicationDate |
1998 |
en |
heal.abstract |
The distance transform has found many applications in image analysis. The Euclidean distance transformis computationally very intensive, and efficient discrete algorithms based on chamfer metrics are used to obtainits approximations. The chamfer metrics are selected to minimize an approximation error. In this paper, a newapproach is developed to find optimal chamfer local distances. This new approach gives smaller approximationerror than |
en |
heal.journalName |
IEEE Transactions on Image Processing |
en |
dc.identifier.doi |
10.1109/83.718487 |
en |