Name
Abstract | ||
|---|---|---|
Over the past ten years similarity measures based on intensity distributions have become state-of-the-art in automatic multimodal image registration. An implementation for clinical usage has to support a plurality of images. However, a generally applicable parameter configuration for the number and sizes of histogram bins, optimal Parzen-window kernel widths or background thresholds cannot be foun... |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TMI.2010.2041358 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image registration,Histograms,Kernel,Proposals,Background noise,Noise measurement,Mutual information,Image databases,Manuals,Biomedical imaging | Histogram,Computer vision,Weighting,Background noise,Similarity measure,Noise measurement,Pattern recognition,Mutual information,Artificial intelligence,Estimation theory,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
29 | 5 | 0278-0062 |
Citations | PageRank | References |
7 | 0.55 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dieter A Hahn | 1 | 38 | 4.40 |
| Volker Daum | 2 | 47 | 5.30 |
| Joachim Hornegger | 3 | 1734 | 190.62 |