Name
Abstract | ||
|---|---|---|
The authors propose four scale-space object detection algorithms for separating objects from the background. These algorithms do not need thresholding at any of the scales. The different algorithms are applicable to images with different noise and clutter characteristics. Statistical analysis of the four algorithms is conducted for noisy and cluttered backgrounds |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1109/CVPR.1991.139788 | CVPR |
Keywords | Field | DocType |
pattern recognition,picture processing,clutter characteristics,contrast based scale-space,edge focusing,noise,scale-space object detection,statistical analysis,scale space,computer science,colored noise,background noise | Object detection,Computer vision,Pattern recognition,Object-class detection,Computer science,Clutter,Scale space,Artificial intelligence,Picture processing,Thresholding,Statistical analysis | Conference |
Volume | Issue | ISSN |
1991 | 1 | 1063-6919 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| V. A. Topkar | 1 | 14 | 3.88 |
| Sood, A.K. | 2 | 0 | 1.01 |
| Kjell, B. | 3 | 0 | 0.34 |