Benninghoff, Heike ; Garcke, Harald 
Alternative Links zum Volltext:DOIVerlag
| Dokumentenart: | Artikel |
|---|
| Titel eines Journals oder einer Zeitschrift: | SIAM Journal on Imaging Sciences |
|---|
| Verlag: | SIAM PUBLICATIONS |
|---|
| Ort der Veröffentlichung: | PHILADELPHIA |
|---|
| Band: | 7 |
|---|
| Nummer des Zeitschriftenheftes oder des Kapitels: | 3 |
|---|
| Seitenbereich: | S. 1451-1483 |
|---|
| Datum: | 2014 |
|---|
| Institutionen: | Mathematik > Prof. Dr. Harald Garcke |
|---|
| Identifikationsnummer: | | Wert | Typ |
|---|
| 10.1137/130932430 | DOI |
|
|---|
| Stichwörter / Keywords: | MEAN-CURVATURE FLOW; ACTIVE CONTOURS; MUMFORD; EQUATIONS; SHAPE; ENHANCEMENT; MODELS; EDGES; image segmentation; restoration; active contours; region-based; Mumford-Shah; Chan-Vese; parametric method; variational methods; topology changes; equidistribution; triple junctions |
|---|
| Dewey-Dezimal-Klassifikation: | 500 Naturwissenschaften und Mathematik > 510 Mathematik |
|---|
| Status: | Veröffentlicht |
|---|
| Begutachtet: | Ja, diese Version wurde begutachtet |
|---|
| An der Universität Regensburg entstanden: | Ja |
|---|
| Dokumenten-ID: | 61832 |
|---|
Zusammenfassung
Curve evolution schemes are introduced for image segmentation based on a region-based contour model allowing for junctions, vector-valued images, and topology changes. Together with an a posteriori denoising in the segmented homogeneous regions, this leads to a fast and efficient method for image segmentation and restoration. An uneven spread of mesh points is avoided by using the tangential ...
Zusammenfassung
Curve evolution schemes are introduced for image segmentation based on a region-based contour model allowing for junctions, vector-valued images, and topology changes. Together with an a posteriori denoising in the segmented homogeneous regions, this leads to a fast and efficient method for image segmentation and restoration. An uneven spread of mesh points is avoided by using the tangential degrees of freedom. Several numerical simulations on artificial test problems and on real images illustrate the performance of the method.