Name
Abstract | ||
|---|---|---|
In this paper we describe an experiment where we studied empirically the application of a learned distance metric to be used as discrimination function for an established color image segmentation algorithm. For this purpose we chose the Mumford-Shah energy functional and the Mahalanobis distance metric. The objective was to test our approach in an objective and quantifiable way on this specific algorithm employing this particular distance model, without making generalization claims. The empirical validation of the results was performed in two experiments: one applying the resulting segmentation method on a subset of the Berkeley Image Database, an exemplar image set possessing ground-truths and validating the results against the ground-truths using two well-known inter-cluster validation methods, namely, the Rand and BGM indexes, and another experiment using images of the same context divided into training and testing set, where the distance metric is learned from the training set and then applied to segment all the images. The obtained results suggest that the use of the specified learned distance metric provides better and more robust segmentations, even if no other modification of the segmentation algorithm is performed. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.patrec.2009.08.002 | Pattern Recognition Letters |
Keywords | Field | DocType |
testing set,segmentation algorithm,distance metric,mahalanobis distance,mahalanobis distance metric,specific algorithm,region-based image segmentation,robust segmentation,distance metric learning,particular distance model,training set,resulting segmentation method,mumford–shah algorithm,established color image segmentation,color distance,region-based color image segmentation,global optimization,discriminant function,ground truth,image segmentation | Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Image processing,Metric (mathematics),Image segmentation,Mahalanobis distance,Artificial intelligence,Color difference,Mathematics,Color image | Journal |
Volume | Issue | ISSN |
30 | 16 | Pattern Recognition Letters |
Citations | PageRank | References |
3 | 0.39 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio C. Sobieranski | 1 | 3 | 0.72 |
| D. D, Abdala | 2 | 28 | 3.45 |
| Eros Comunello | 3 | 66 | 15.04 |
| Aldo von Wangenheim | 4 | 209 | 49.44 |