|
|
|
|
| LEADER |
01000caa a22002652 4500 |
| 001 |
NLM19156091X |
| 003 |
DE-627 |
| 005 |
20250210195116.0 |
| 007 |
cr uuu---uuuuu |
| 008 |
231223s2010 xx |||||o 00| ||eng c |
| 024 |
7 |
|
|a 10.1109/TIP.2009.2032940
|2 doi
|
| 028 |
5 |
2 |
|a pubmed25n0639.xml
|
| 035 |
|
|
|a (DE-627)NLM19156091X
|
| 035 |
|
|
|a (NLM)19775964
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Salah, Mohamed Ben
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Effective level set image segmentation with a kernel induced data term
|
| 264 |
|
1 |
|c 2010
|
| 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 18.02.2010
|
| 500 |
|
|
|a Date Revised 16.12.2009
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status PubMed-not-MEDLINE
|
| 520 |
|
|
|a This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps implicitly the original data into data of a higher dimension so that the piecewise constant model becomes applicable. This leads to a flexible and effective alternative to complex modeling of the image data. The method uses an active curve objective functional with two terms: an original term which evaluates the deviation of the mapped image data within each segmentation region from the piecewise constant model and a classic length regularization term for smooth region boundaries. Functional minimization is carried out by iterations of two consecutive steps: 1) minimization with respect to the segmentation by curve evolution via Euler-Lagrange descent equations and 2) minimization with respect to the regions parameters via fixed point iterations. Using a common kernel function, this step amounts to a mean shift parameter update. We verified the effectiveness of the method by a quantitative and comparative performance evaluation over a large number of experiments on synthetic images, as well as experiments with a variety of real images such as medical, satellite, and natural images, as well as motion maps
|
| 650 |
|
4 |
|a Journal Article
|
| 700 |
1 |
|
|a Mitiche, Amar
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Ayed, Ismail Ben
|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 19(2010), 1 vom: 01. Jan., Seite 220-32
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
| 773 |
1 |
8 |
|g volume:19
|g year:2010
|g number:1
|g day:01
|g month:01
|g pages:220-32
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1109/TIP.2009.2032940
|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 19
|j 2010
|e 1
|b 01
|c 01
|h 220-32
|