Abstract
An iterative registration algorithm, the Lucas-Kanade algorithm, is combined with the histogram transformation to jointly optimize the spatial registration and the histogram compensation. Based on a simple regression model, a nonparametric estimator, the empirical conditional mean, is used for the histogram transformation function. The proposed algorithm provides a good performance in registering microscopic images that have different exposure or histogram properties, and can easily adopt other histogram compensation schemes and variations of the Lucas-Kanade algorithms due to its implicit flexibility. Joint registration with a third-order polynomial warp and compensation is conducted for microscopic images that have different magnifications.
| Original language | English |
|---|---|
| Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Pages | 3779-3782 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2006 |
| Event | 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: 2006 Aug 30 → 2006 Sep 3 |
Other
| Other | 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 |
|---|---|
| Country | United States |
| City | New York, NY |
| Period | 06/8/30 → 06/9/3 |
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Keywords
- Histogram compensation
- Lucas-Kanade algorithm
- Registration
ASJC Scopus subject areas
- Bioengineering
Cite this
Joint optimization of spatial registration and histogram compensation for microscopic images. / Dong, Sik Kim; Kiryung, Lee; Kyung, Eun Lee; Han, Sung Sik.
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. 2006. p. 3779-3782 4030282.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Joint optimization of spatial registration and histogram compensation for microscopic images
AU - Dong, Sik Kim
AU - Kiryung, Lee
AU - Kyung, Eun Lee
AU - Han, Sung Sik
PY - 2006
Y1 - 2006
N2 - An iterative registration algorithm, the Lucas-Kanade algorithm, is combined with the histogram transformation to jointly optimize the spatial registration and the histogram compensation. Based on a simple regression model, a nonparametric estimator, the empirical conditional mean, is used for the histogram transformation function. The proposed algorithm provides a good performance in registering microscopic images that have different exposure or histogram properties, and can easily adopt other histogram compensation schemes and variations of the Lucas-Kanade algorithms due to its implicit flexibility. Joint registration with a third-order polynomial warp and compensation is conducted for microscopic images that have different magnifications.
AB - An iterative registration algorithm, the Lucas-Kanade algorithm, is combined with the histogram transformation to jointly optimize the spatial registration and the histogram compensation. Based on a simple regression model, a nonparametric estimator, the empirical conditional mean, is used for the histogram transformation function. The proposed algorithm provides a good performance in registering microscopic images that have different exposure or histogram properties, and can easily adopt other histogram compensation schemes and variations of the Lucas-Kanade algorithms due to its implicit flexibility. Joint registration with a third-order polynomial warp and compensation is conducted for microscopic images that have different magnifications.
KW - Histogram compensation
KW - Lucas-Kanade algorithm
KW - Registration
UR - http://www.scopus.com/inward/record.url?scp=34047132849&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34047132849&partnerID=8YFLogxK
U2 - 10.1109/IEMBS.2006.259863
DO - 10.1109/IEMBS.2006.259863
M3 - Conference contribution
AN - SCOPUS:34047132849
SN - 1424400325
SN - 9781424400324
SP - 3779
EP - 3782
BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ER -