Advanced search

Browse by subject

Browse by provider

Browse by language

Content Details
Normal View
CIP View

Most Likely Separation of Intensity and ...

Kühnel, Line...

Free

Share this content

Most Likely Separation of Intensity and Warping Effects in Image Registration by Kühnel, Line ( Author )

Content Provider	Lemonjar Open Access
Publisher	N.A
Publication Date	18-04-2016
Summary	This paper introduces a class of mixed-effects models for joint modeling of spatially correlated intensity variation and warping variation in 2D images. Spatially correlated intensity variation and warp variation are modeled as random effects, resulting in a nonlinear mixed-effects model that enables simultaneous estimation of template and model parameters by optimization of the likelihood function. We propose an algorithm for fitting the model which alternates estimation of variance parameters and image registration. This approach avoids the potential estimation bias in the template estimate that arises when treating registration as a preprocessing step. We apply the model to datasets of facial images and 2D brain magnetic resonance images to illustrate the simultaneous estimation and prediction of intensity and warp effects.
ISBN	-
Item Type	Article
File Type	pdf
File Size	36.88 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	https://arxiv.org/abs/1604.05027

Citation

Review the full bibliography data and make any necessary corrections before using. Always consult your library resources for the exact formatting and punctuation guidelines.

AMA 11th EditionReferences

Kühnel, Line. Most Likely Separation of Intensity and Warping Effects in Image Registration. N.A. April 18, 2016. Accessed November 21, 2024. https://online.provdatabase.com/cite/22823

APA 7th EditionReferences

Kühnel, Line. (2016). Most Likely Separation of Intensity and Warping Effects in Image Registration. N.A. https://online.provdatabase.com/cite/22823

Chicago 17th EditionReferences

Kühnel, Line. Most Likely Separation of Intensity and Warping Effects in Image Registration. N.A. 2016. https://online.provdatabase.com/cite/22823

HarvardReferences

Kühnel, Line. (2016). Most Likely Separation of Intensity and Warping Effects in Image Registration. [Online]. N.A. Available from: https://online.provdatabase.com/cite/22823. (Accessed 21 November 2024).

Harvard AustraliaReferences

Kühnel, Line, 2016, Most Likely Separation of Intensity and Warping Effects in Image Registration, N.A, viewed 21 November 2024, <https://online.provdatabase.com/cite/22823>

MLA 9th EditionWorks Cited

Kühnel, Line. Most Likely Separation of Intensity and Warping Effects in Image Registration. N.A, 2016. PROV Database, https://online.provdatabase.com/cite/22823.

Share this eBook