Multispectral imaging captures images illuminated at wavelengths from ultraviolet to infrared to recover hidden features. Images acquired at different times or of a moving object must be registered. This is challenging due to inconsistent lighting and the sporadic appearance of features across wavelengths. Therefore, feature-based and intensity-based methods often fail. Three registration techniques based on the mean squared differences measure, mutual information and phase-correlation were evaluated and compared for registering affine distortions in multispectral images.

This is poster number 60 in Poster Session

Authors:

Cerys Jones (UCL)

Adam Gibson (UCL Medical Physics and Biomedical Engineering)

Melissa Terras (College of Arts, Humanities and Social Sciences, The University of Edinburgh)

Michael Toth (R.B.Toth Associates)

Keywords:

image registration, multispectral imaging