Name
Title | ||
|---|---|---|
Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations. |
Abstract | ||
|---|---|---|
Evaluating image segmentation quality is a critical step for generating desirable segmented output and comparing performance of algorithms, among others. However, automatic evaluation of segmented results is inherently challenging since image segmentation is an ill-posed problem. This paper presents a framework to evaluate segmentation quality using multiple labeled segmentations which are conside... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TPAMI.2016.2622703 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Image segmentation,Indexes,Electronic mail,Impedance matching,Performance evaluation,Benchmark testing,Observers | Computer vision,Scale-space segmentation,Pattern recognition,Image texture,Computer science,Segmentation,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Region growing,Minimum spanning tree-based segmentation,Benchmark (computing) | Journal |
Volume | Issue | ISSN |
39 | 10 | 0162-8828 |
Citations | PageRank | References |
1 | 0.35 | 35 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Peng | 1 | 224 | 8.32 |
| Lei Zhang | 2 | 16326 | 543.99 |
| Xuanqin Mou | 3 | 216 | 12.15 |
| Yang Ming-Hsuan | 4 | 15303 | 620.69 |