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
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;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025886