|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM177376244 |
| 003 |
DE-627 |
| 005 |
20231223150057.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231223s2001 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/83.902291
|2 doi
|
| 028 |
5 |
2 |
|a pubmed24n0591.xml
|
| 035 |
|
|
|a (DE-627)NLM177376244
|
| 035 |
|
|
|a (NLM)18249617
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Chan, T F
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Active contours without edges
|
| 264 |
|
1 |
|c 2001
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ƒaComputermedien
|b c
|2 rdamedia
|
| 338 |
|
|
|a ƒa Online-Ressource
|b cr
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 20.05.2010
|
| 500 |
|
|
|a Date Revised 15.11.2022
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
| 520 |
|
|
|a We propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets. Our model can detect objects whose boundaries are not necessarily defined by the gradient. We minimize an energy which can be seen as a particular case of the minimal partition problem. In the level set formulation, the problem becomes a "mean-curvature flow"-like evolving the active contour, which will stop on the desired boundary. However, the stopping term does not depend on the gradient of the image, as in the classical active contour models, but is instead related to a particular segmentation of the image. We give a numerical algorithm using finite differences. Finally, we present various experimental results and in particular some examples for which the classical snakes methods based on the gradient are not applicable. Also, the initial curve can be anywhere in the image, and interior contours are automatically detected
|
| 650 |
|
4 |
|a Journal Article
|
| 700 |
1 |
|
|a Vese, L A
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 10(2001), 2 vom: 15., Seite 266-77
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
| 773 |
1 |
8 |
|g volume:10
|g year:2001
|g number:2
|g day:15
|g pages:266-77
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/83.902291
|3 Volltext
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 10
|j 2001
|e 2
|b 15
|h 266-77
|