Name
Abstract | ||
|---|---|---|
This paper presents a novel algorithm for unsupervised texture segmentation. We incorporate a set of texture features under a segmentation ftamework, based on the active contour without edges model with level set representation and a connected component filtering strategy. The experiments performed show that, it can be used for segmentation of multiple-textured images, with a segmentation quality that achieves up to 96% of average using our own quantitatively image quality measure, which allows the comparison between the segmented image versus its ground truth image. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761583 | 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6 |
Keywords | Field | DocType |
filtering,iterative methods,edge detection,image segmentation,image texture,set theory,image quality,minimisation,pixel,active contour,feature extraction,connected component,ground truth,level set | Scale-space segmentation,Computer science,Segmentation-based object categorization,Image segmentation,Region growing,Artificial intelligence,Minimum spanning tree-based segmentation,Active contour model,Computer vision,Pattern recognition,Image texture,Algorithm,Texture filtering | Conference |
ISSN | Citations | PageRank |
1051-4651 | 1 | 0.40 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sandro Vega-Pons | 1 | 232 | 9.79 |
| José Luís Gil Rodríguez | 2 | 3 | 0.79 |
| Oscar Luis Vera | 3 | 1 | 0.40 |