Name
Abstract | ||
|---|---|---|
A new method for delineation of compact objects in image pyramids is presented. The borders of the objects are detected in a low resolution representation of the input, a higher level of the pyramids of the pixels on the two sides of an edge are the roots for two classes (object and background). The two classes are employed in two independent top-down tree growing processes. The information is passed downward by adjusting confidence measures. The employment of multiple roots defined on the smoothed representation of the input contributes to the robustness of the method at very low signal-to-noise ratios. |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1016/0167-8655(90)90120-Q | Pattern Recognition Letters |
Keywords | Field | DocType |
feature extraction,image pyramids,noise smoothing,border delineation,multiresolution methods,concurrent tree,image pyramid | Confidence measures,Computer vision,Pattern recognition,Segmentation,Edge detection,Image processing,Robustness (computer science),Feature extraction,Pixel,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 2 | Pattern Recognition Letters |
Citations | PageRank | References |
2 | 0.92 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. M. Jolion | 1 | 145 | 48.79 |
| Peter Meer | 2 | 9531 | 835.61 |
| A. Rosenfeld | 3 | 189 | 240.49 |