Name
Abstract | ||
|---|---|---|
Quasi-flat zones are morphological operators which segment the image into homogeneous regions according to certain criteria. They are used as an image simplification tool or an image segmentation pre-processing, but they induced a very important oversegmentation. Several filtering methods have been proposed to deal with this issue but they suffer from different drawbacks, e.g., loss of quality or edge deformation. In this article, we propose a new method based on existing approaches which achieves better or similar results than existing approaches, does not suffer from their drawbacks and requires less computation time. It consists of two successive steps. First, small quasi-flat zones are removed according to a minimal area threshold. They are then filled through the growth of remaining zones. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.jvcir.2013.01.011 | J. Visual Communication and Image Representation |
Keywords | Field | DocType |
quasi-flat zone,different drawback,important oversegmentation,computation time,certain criterion,minimal area threshold,edge deformation,image segmentation pre-processing,homogeneous region,image simplification tool,image segmentation,mathematical morphology | Computer vision,Scale-space segmentation,Pattern recognition,Mathematical morphology,Filter (signal processing),Image simplification,Image segmentation,Operator (computer programming),Artificial intelligence,Merge (version control),Mathematics,Computation | Journal |
Volume | Issue | ISSN |
24 | 3 | 1047-3203 |
Citations | PageRank | References |
5 | 0.50 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan Weber | 1 | 39 | 4.59 |
| Sébastien Lefèvre | 2 | 303 | 46.92 |