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##

Validation using Warped Images

Given the 70 image sets described above, each with known average
misregistration, 79#79, we investigated the relationship between
79#79 and Specificity, Generalisation, and Generalised Overlap,
calculating the mean and standard error for each measure over the
10 warp instances for each value of 79#79.

For each misregistered image set, we calculated Specificity and
Generalisation, as described in Section ,
using 34#34 = 15 modes of variation for the model and
82#82 = 1000 synthetic images drawn from a Gaussian
distribution, as described in Section . This was
repeated for values of shuffle radius, 66#66, of 1 (Euclidean
distance), 1.5, 2.1 and 3.7, as defined in Section ,
corresponding to circular neighbourhoods contained within 1x1,
3x3, 5x5 and 7x7 pixel patches respectively. We also repeated
these experiments with 2.5%, 5.0% and 10% Gaussian intensity
noise added to the misregistered images, in order to investigate
the sensitivity of the model-based measures to image noise.

Similarly, we calculated Generalised Overlap with volume, equal,
inverse volume and complexity weightings, as defined in Section
calculating the mean and standard error for
each measure over the 10 warp instances for each value of 79#79.

** Next:** Sensitivity
** Up:** Experimental Validation
** Previous:** Perturbing the Initial Registration
Roy Schestowitz
2007-03-11