Name
Abstract | ||
|---|---|---|
This paper aims to understand the practical features of hierarchies of morphological segmentations, namely the quasi-flat zones hierarchy and watershed hierarchies, and to evaluate their potential in the context of natural image analysis. We propose a novel evaluation framework for the hierarchies of partitions designed to capture various aspects of those representations: precision of their region... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIP.2017.2779604 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Image segmentation,Vegetation,Image analysis,Image edge detection,Semantics,Proposals,Electronic mail | Computer vision,Data mining,Mathematical morphology,Watershed,Image segmentation,Artificial intelligence,Hierarchy,Global optimality,Semantics,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
27 | 4 | 1057-7149 |
Citations | PageRank | References |
5 | 0.44 | 43 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Benjamin Perret | 1 | 102 | 12.78 |
| Jean Cousty | 2 | 460 | 34.40 |
| Silvio Jamil Ferzoli Guimarães | 3 | 145 | 25.38 |
| Deise Santana Maia | 4 | 6 | 2.14 |