Name
Abstract | ||
|---|---|---|
Histogram Matching (HM) is a common technique for finding a monotonic map between two histograms. However, HM cannot deal with cases where a single mapping is sought between two sets of histograms. This paper presents a novel technique that finds such a mapping in an optimal manner under various histograms distance measures. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICIP.2013.6738468 | Image Processing |
Keywords | Field | DocType |
image matching,HM,histograms distance measures,monotonic map,multiple histogram matching,single mapping | Computer vision,Monotonic function,Histogram,Pattern recognition,Image matching,Computer science,Histogram matching,Adaptive histogram equalization,Artificial intelligence,Distance measures | Conference |
ISSN | Citations | PageRank |
1522-4880 | 6 | 0.47 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dori Shapira | 1 | 6 | 0.47 |
| Shai Avidan | 2 | 3291 | 208.12 |
| Yacov Hel-Or | 3 | 461 | 40.74 |