Name
Abstract | ||
|---|---|---|
•Connected-component labeling (CCL) is indispensable for pattern recognition.•Many connected-component labeling algorithms have been proposed.•The state-of-the-art CCL algorithms presented in the last decade are reviewed. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.patcog.2017.04.018 | Pattern Recognition |
Keywords | Field | DocType |
Connected-component labeling,Shape feature,Image analysis,Image understanding,Pattern recognition,Computer vision | Sequence labeling,Feature detection (computer vision),Computer science,Binary image,Artificial intelligence,Labeling Problem,Computer vision,Pattern recognition,Pixel,Connected component,Connected-component labeling,Machine learning,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
70 | C | 0031-3203 |
Citations | PageRank | References |
19 | 0.89 | 53 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lifeng He | 1 | 441 | 40.97 |
| Xiwei Ren | 2 | 19 | 0.89 |
| Qihang Gao | 3 | 19 | 0.89 |
| Xiao Zhao | 4 | 47 | 7.99 |
| Bin Yao | 5 | 31 | 4.84 |
| Yuyan Chao | 6 | 315 | 24.07 |