"Nonparametric Local Smoothing" is not image registration.

ABSTRACT:

Background

Image registration is one of the most important and universally useful computational tasks in biomedical image analysis. A recent article by Xing & Qiu (IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(10):2081-2092, 2011) is based on an inappropriately narrow conceptualization of the image registration problem as the task of making two images look alike, which disregards whether the established spatial correspondence is plausible. The authors propose a new algorithm, Nonparametric Local Smoothing (NLS) for image registration, but use image similarities alone as a measure of registration performance, although these measures do not relate reliably to the realism of the correspondence map.

Results

Using data obtained from its authors, we show exper

SUBMITTER: Rohlfing T 

PROVIDER: S-EPMC3740790 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature