DocumentCode
249324
Title
Eikonal-based vertices growing and iterative seeding for efficient graph-based segmentation
Author
Buyssens, P. ; Toutain, M. ; Elmoataz, A. ; Lezoray, O.
Author_Institution
GREYC, Univ. de Caen Basse-Normandie, Caen, France
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
4368
Lastpage
4372
Abstract
In this paper we propose to use the Eikonal equation on graphs for generalized data clustering. We introduce a new potential function that favors the creation of homogeneous clusters together with an iterative algorithm that place seeds vertices at smart locations. Oversegmentation application shows the effectiveness of our approach and gives results comparable to the state-of-the-art methods.
Keywords
graph theory; image segmentation; iterative methods; pattern clustering; Eikonal equation; Eikonal-based vertex growing; generalized data clustering; graph-based segmentation; homogeneous clusters; iterative algorithm; iterative seeding; Clustering algorithms; Equations; Image color analysis; Image segmentation; Iterative methods; Mathematical model; Measurement; Eikonal equation; Graphs; Oversegmentation; Seeds positioning;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025886
Filename
7025886
Link To Document