Joint optimization of spatial registration and histogram compensation for microscopic images

Sik Kim Dong; Lee Kiryung; Eun Lee Kyung; Sik Han Sung

doi:10.1109/IEMBS.2006.259863

Joint optimization of spatial registration and histogram compensation for microscopic images

Sik Kim Dong, Lee Kiryung, Eun Lee Kyung, Sik Han Sung

* Honorary professors

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages	3779-3782
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2006.259863
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

Publication series

Name	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)	0589-1019

Other

Other	28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/Territory	United States
City	New York, NY
Period	06/8/30 → 06/9/3

Keywords

Histogram compensation
Lucas-Kanade algorithm
Registration

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/IEMBS.2006.259863

Cite this

Dong, S. K., Kiryung, L., Kyung, E. L., & Sung, S. H. (2006). Joint optimization of spatial registration and histogram compensation for microscopic images. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 (pp. 3779-3782). [4030282] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). https://doi.org/10.1109/IEMBS.2006.259863

Joint optimization of spatial registration and histogram compensation for microscopic images. / Dong, Sik Kim; Kiryung, Lee; Kyung, Eun Lee et al.

28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 3779-3782 4030282 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Dong, SK, Kiryung, L, Kyung, EL & Sung, SH 2006, Joint optimization of spatial registration and histogram compensation for microscopic images. in 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06., 4030282, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, pp. 3779-3782, 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, United States, 06/8/30. https://doi.org/10.1109/IEMBS.2006.259863

Dong SK, Kiryung L, Kyung EL, Sung SH. Joint optimization of spatial registration and histogram compensation for microscopic images. In 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06. 2006. p. 3779-3782. 4030282. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings). doi: 10.1109/IEMBS.2006.259863

@inproceedings{4a5abc17f6f6411f8a3819134fe84ad2,

title = "Joint optimization of spatial registration and histogram compensation for microscopic images",

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.",

keywords = "Histogram compensation, Lucas-Kanade algorithm, Registration",

author = "Dong, {Sik Kim} and Lee Kiryung and Kyung, {Eun Lee} and Sung, {Sik Han}",

year = "2006",

doi = "10.1109/IEMBS.2006.259863",

language = "English",

isbn = "1424400325",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",

pages = "3779--3782",

booktitle = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06",

note = "28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 ; Conference date: 30-08-2006 Through 03-09-2006",

}

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 - Sung, Sik Han

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

U2 - 10.1109/IEMBS.2006.259863

DO - 10.1109/IEMBS.2006.259863

M3 - Conference contribution

AN - SCOPUS:34047132849

SN - 1424400325

SN - 9781424400324

T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

SP - 3779

EP - 3782

BT - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06

T2 - 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06

Y2 - 30 August 2006 through 3 September 2006

ER -

Joint optimization of spatial registration and histogram compensation for microscopic images

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this