Name
Abstract | ||
|---|---|---|
In this paper we propose a set of measures to model the concept of homogeneity in path-based image segmentation. We introduce the idea of path homogeneity as the aggregation of resemblances between consecutive pixels in the path. This resemblance is obtained from a measure of resemblance between neighbour pixels. In order to aggregate these resemblance values we propose the use of certain families of t-norms that verify a set of intuitive properties. We have studied the performance and behaviour of these functions through a set of experiments. Finally, we have applied these proposals to obtain fuzzy segmentations from real images. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1504/IJISTA.2006.009910 | IJISTA |
Keywords | DocType | Volume |
image segmentation,image processing,uncertainty,feature vector | Conference | 1 |
Issue | ISSN | Citations |
3/4 | 1098-7584 | 2 |
PageRank | References | Authors |
0.39 | 18 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Chamorro-Martinez | 1 | 32 | 2.79 |
| D. Sanchez | 2 | 4 | 1.14 |
| B. Prados-Suarez | 3 | 7 | 1.26 |
| E. Galan-Perales | 4 | 39 | 3.03 |