dc.contributor.author |
Maragos, P |
en |
dc.contributor.author |
Butt, M |
en |
dc.date.accessioned |
2014-03-01T02:48:22Z |
|
dc.date.available |
2014-03-01T02:48:22Z |
|
dc.date.issued |
1996 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/33774 |
|
dc.subject |
Digital Image Processing |
en |
dc.subject |
Discrete Model |
en |
dc.subject |
Image Analysis |
en |
dc.subject |
Mathematical Model |
en |
dc.subject |
Partial Differential Equation |
en |
dc.title |
Partial differential equations in image analysis: continuous modeling, discrete processing |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/ICIP.1996.560369 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/ICIP.1996.560369 |
en |
heal.publicationDate |
1996 |
en |
heal.abstract |
Most traditional methodologies in digital image processing start with a discrete model which is directly related to the subsequent discrete processing of the image data. We review some examples and focus on some details of an emerging new methodology that starts from some continuous models provided by PDEs and proceeds with discrete processing of the image data via the numerical |
en |
heal.journalName |
Image Processing, IEEE International Conference |
en |
dc.identifier.doi |
10.1109/ICIP.1996.560369 |
en |