Name
Title | ||
|---|---|---|
Fast Two-Step Segmentation of Natural Color Scenes Using Hierarchical Region-Growing and a Color-Gradient Network |
Abstract | ||
|---|---|---|
We present evaluation results with focus on combined image and efficiency performance of the Gradient Network Method to segment
color images, especially images showing outdoor scenes. A brief review of the techniques, Gradient Network Method and Color
Structure Code, is also presented. Different region-growing segmentation results are compared against ground truth images
using segmentation evaluation indices Rand and Bipartite Graph Matching. These results are also confronted with other well
established segmentation methods (EDISON and JSEG). Our preliminary results show reasonable performance in comparison to several
state-of-art segmentation techniques, while also showing very promising results comparatively in the terms of efficiency,
indicating the applicability of our solution to real time problems. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1590/S0104-65002008000400004 | Journal of the Brazilian Computer Society |
Keywords | Field | DocType |
outdoor scenes,color image segmentation,fast segmentation,gradient network segmentation.,color structure code,Color Structure Code,Gradient Network,Segmentation | Computer vision,Scale-space segmentation,Computer science,Segmentation,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Region growing,Connected-component labeling,Minimum spanning tree-based segmentation,Cartography,Color gradient | Journal |
Volume | Issue | ISSN |
14 | 4 | 1678-4804 |
Citations | PageRank | References |
7 | 0.49 | 14 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aldo von Wangenheim | 1 | 209 | 49.44 |
| Rafael F. Bertoldi | 2 | 18 | 1.04 |
| D. D, Abdala | 3 | 28 | 3.45 |
| Michael M. Richter | 4 | 471 | 102.15 |
| Lutz Priese | 5 | 240 | 31.41 |
| Frank Schmitt | 6 | 26 | 4.29 |